Individuals choose a domain for instruction and practice based on their preferences, abilities, and financial capabilities.

In the healthcare sector, each person dedicates time and effort to acquiring expertise in their specific area. Continuous knowledge improvement and skill enhancement are essential for confidently meeting job requirements. This journey of learning and development brings pleasure and worth.

In clinical practice, collaborative work with partners/collaborators, customers and their families, and other community members is critical for business stability and growth, career advancement, and personal life improvement. How they transfer their knowledge to clients, apply the principles of fair cooperation, build and extend their relationships with others, share their presence, and align with social norms depicts their life trajectory.

Introduction: Depression, anxiety, and stress (DAS) are significant affective states that substantially influence both the psychological and physiological state of an individual. Acquiring a nuanced understanding of the emotional landscape of working professionals within a community is important in enhancing societal progression. Daily, factors like age, gender, occupational roles, and marital status play a paramount role in affecting mental health parameters. Therefore, a thorough grasp of the relationship between demographic and psychological factors is essential.
Methods: This cross-sectional survey was conducted among 203 working individuals of Suryabinayak municipality. The data was collected using the DASS-42 questionnaire. All data were analyzed using SPSS and presented in tables.
Result: The findings revealed diverse levels of DAS within the participants. The mean score was found to be 9.42 for depression, 8.70 for anxiety, and 12.72 for stress among the participants. For depression levels, 123 individuals fall within the normal range, 25 mild, 34 moderate, 12 severe, and 9 extremely severe, underscoring the presence of serious cases that may require intervention. In terms of anxiety, 109 individuals fall within the normal range, 12 experience mild anxiety, 48 moderate, 14 severe, and 20 extremely severe levels, highlighting individuals facing considerable anxiety challenges. For Stress levels, 138 falls in the normal range, 25 experience mild, 26 moderate, 12 severe, and 2 extremely severe, reflecting a range of stress management needs. This study also examines the prevalence of DAS based on gender, occupation, age, and marital status, revealing important differences among these factors in detail.
Conclusion: Although the majority of people fall within the normal range of the DAS scale and don’t experience significant DAS symptoms, a considerable proportion still needs various kinds of mental health support like counseling, stress management, and self-care sessions.
Keywords: Depression; Anxiety; Stress; DASS; Gender; Occupation; Age; Marital Status; Suryabinayak; Bhaktapur

Down-Klinefelter Syndrome is an exceptionally rare chromosomal disorder that arises from the coexistence of two distinct genetic anomalies: Down syndrome (trisomy 21) and Klinefelter syndrome (47, XXY). The patient is a 3-year-old male with a rare and complex chromosomal condition resulting from mosaic Down syndrome and Klinefelter syndrome (48, XXY+21). The child has a history of congenital heart disease (CHD), which necessitated surgical intervention. Post-surgical recovery has been complicated, including significant morbidity such as a left foot amputation caused by a crossed vasoconstriction reflex. The patient underwent several investigations to elucidate the extent of their complex medical issues. A Doppler ultrasound revealed limited arterial flow in the left lower limb post-ECMO, with only partial arterial signals detected. Down-Klinefelter syndrome is a rare chromosomal abnormality that combines features of Down syndrome and Klinefelter syndrome. Documented complications include hypothyroidism, infantile spasms, gastrointestinal dysfunction, and congenital heart disease. To date, more than 70 cases of double aneuploidy have been reported in the literature.
Keywords: Patients; Down sindrome; Chromosomal; Disorder; Genetic abnormality

“Sidekick,” an original short fiction work, explores the concept of belonging through its two main characters, Birch and Aggie, who struggle to find social acceptance. Birch’s struggle is with paranoid schizophrenia. While he exhibits symptoms of delusions and experiences auditory complex perceptions, as do many with paranoid schizophrenia, unlike most, he also sees visual hallucinations. The general population might confuse his disability with dissociative identity disorder, or existing in multiple personality states. Instead, Birch seems cut off from reality, and while highly intelligent and educated, has been unable, especially in recent years, to maintain a successful life. The narrator, Aggie, is a retiree whose career was spent as an expatriate working with farming communities for a non-governmental organization (NGO) in Cambodia. She has recently returned to her home in Virginia. Her perceptions and experience are partially based on research and my observations while visiting Cambodia and my conversations with NGO employees there. The greater portion, however, is informed by my observations and experiences over the last twenty-one years as a member of the expatriate community in Doha, Qatar, one of the Gulf states. Usually, expatriates are motivated by imagining a better life abroad in status, salary, and/or in opportunities to make a meaningful contribution. Aggie’s desires fit within the latter category, and as is common with expat life, her dreams met with obstacles, which require adjustment if the expat is to remain abroad. Aggie was unable to find a way to adjust. However, upon her return, she has realized that her home is no longer familiar to her, and while she has never quite fit into the fashionable society of Richmond’s West End, her outsider status has become even more pronounced. Her first-person account relays her chance encounter at a café with the much younger Birch and the tentative attempts these two lonely people make in pursuing a possible platonic friendship.
Keywords: short fiction; humor; mystery; friendship; paranoid schizophrenia; expatriate; Virginia; Cambodia

Background
The main disadvantage of conventional Bassini hernioplasty is that it involves forceful approximation of the groin tissues associated with tension on the suture line, which leads to increased postoperative pain, longer hospital stay delay in resuming regular physical activity, and higher recurrence rate. New techniques of tension free repair have many advantages, including decreased tension, reduced postoperative pain, decreased analgesic consumption, faster return to normal physical activity and lower incidence of recurrence. Tension free techniques are divided into open (Trabucco) and endoscopic (laparoscopic TAPP and TEP). This study was undertaken to investigate the advantages and disadvantages of conventional and laparoscopic hernioplasty.

Patients and methods
During the period 2018-2019, 28 patients, 24 men (85,7 %) and 4 women (14,3 %), underwent endoscopic hernia repair at our department. During the same period, the open tension-free technique was used in 423 patients, 388 men (84,9 %) and 44 women (10,2 %). The mean age of laparoscopic and open tension group was 55 and 52 years, respectively. The techniques were compared in terms of operating time, hospital stay, postoperative pain, analgesic usage, recurrence rate, return to normal physical activity, and complications. Follow up examinations were scheduled at one month, six months, one year and five years after surgery.

Results
The operating time in laparoscopic hernioplasty is significantly longer than in tension-free hernia repair, yet there is no statistically difference between the two techniques as concerns the length of hospital stay. In patients undergoing laparoscopic hernia repair, return to normal physical activity was significantly less, analgesics during the first three postoperative days, and reported significantly lower level of pain assessed by the visual analogy scale. On follow-up examination at five years after surgery one recurrence (3,6 %) was found in both groups. There was no significant difference between the groups in terms of normal physical activity.

Conclusion
Tension-free hernioplasty is the method of choice in the treatment of adult patients with groin hernia. Laparoscopic hernia repair has its advantages and drawbacks. It is considerably more expansive than the tension-free approach, but its use is fully justified in adults with hernia recurrence. 

The primary purpose of E-GAS monitoring is to ensure the functional stability of the electronic controller in relation to vehicle torque. At level 2 of the E-GAS monitoring concept, the calculation of permissible torque typically relies on formula-based models that simplify real vehicle behavior, accompanied by complex calibration to enhance accuracy. However, this approach often fails to adequately account for the diverse driving scenarios encountered by the vehicle. To address this limitation, this study proposes an algorithm for calculating permissible torque using machine learning at level 2 of the E-GAS monitoring concept. The effectiveness of the algorithm is validated through the analysis of real-world vehicle driving data, confirming its practicality and applicability.
Keywords: E-GAS Monitoring Concept; Torque Monitoring; Machine Learning; Electric Vehicle; Functional Safety; Vehicle Control Unit (VCU)

The menace of breast cancer poses a formidable challenge to global public health, particularly affecting women across diverse regions. Timely identification and precise prognosis are imperative for efficacious treatment and enhanced patient outcomes. Conventional diagnostic methods, such as mammography and biopsy, though widely employed, can be invasive and occasionally yield imprecise results. Within this context, machine learning (ML) algorithms have emerged as a promising avenue for breast cancer prediction. These algorithms demonstrate proficiency in scrutinizing extensive datasets, discerning intricate patterns, and subsequently formulating predictions based on the analyzed information. The research presented in this paper is dedicated to the formulation of a sophisticated predictive model for breast cancer utilizing ML algorithms. The dataset utilized encompasses comprehensive clinical and imaging data from patients diagnosed with breast cancer. Subsequent to the extraction of pertinent features from the dataset, rigorous preprocessing procedures will precede the training and testing phases of the ML models. The primary objective of this study is to identify the most accurate algorithm for predicting breast cancer. A comprehensive evaluation of various ML algorithms, including logistic regression, decision trees, random forests, and neural networks, will be undertaken to assess their efficacy in breast cancer prediction. Logistic regression, a statistical method adept at analyzing datasets with one or more independent variables and a binary outcome variable, will be employed in discerning crucial factors such as age, family history, and prior cancer diagnoses in predicting breast cancer. Decision trees, an alternative ML algorithm for classification tasks, leverage a hierarchical structure to classify data based on a sequence of decisions derived from input features. Random forests, an extension of decision trees, employ multiple trees to enhance model accuracy, each trained on a random subset of the dataset. Neural networks, inspired by the intricate architecture of the human brain, comprise interconnected layers of nodes processing input data to generate predictions. The learning mechanism involves adjusting the weights of inter-node connections based on training data. The evaluation of ML algorithm performance will be based on standard metrics including accuracy, precision, recall, and F1-score. These metrics serve as robust indicators of the model’s effectiveness in accurately predicting breast cancer. The identification of pivotal features contributing to breast cancer prediction within this study is anticipated to yield insights into the potential applications of ML algorithms in this domain, contributing significantly to the development of precise prediction models for breast cancer. In summary, this research endeavor, focusing on the prediction of breast cancer using ML algorithms, holds promise for enhancing both diagnosis and treatment of this debilitating condition. The creation of precise prediction models employing clinical and imaging data can empower healthcare providers to identify individuals at elevated risk promptly and initiate appropriate interventions. The outcomes of this study may play a pivotal role in advancing more effective breast cancer screening programs and ultimately improving patient outcomes.
Keywords: Breast cancer; Machine learning; Predictive model; Clinical data; Diagnosis

Human life evolves through an ending, facing next to something never perceptible or illuminated, as for all animate surroundings.
The individual’s vision of the transition into a new life creation provides varied feelings from fear to exaltation, expectation of happiness, reunions with family members, and hope for God’s benevolence within His perfect beauty and equilibrium.
Usually, more suffering at the end of life makes some people prefer nightfall in advance; others, who can maintain a relative balance of their body functions, wish to enjoy more moments with their loved ones, friends, or other pleasant community members. Additionally, they want extended time to contemplate nature’s perfection in changing colour in real space, embrace novelty available on diverse IT devices, and access programs of interest on demand to enhance knowledge or relaxation.

Conjunctivitis is a highly prevalent condition of diverse etiology affecting around 2 percent of the world’s population, with cases ranging from mild to severe. Previous studies have focused on the pathogenic, environmental, and preservative-induced causes of conjunctivitis. However, little research has examined drug-associated risk factors for conjunctivitis, especially outside of eye drops. The goal of this study is to identify and elicit trends among the top 50 medications associated with conjunctivitis in the FDA Adverse Event Reporting System (FAERS) and their respective drug categories.
Investigating the FAERS database, we uncovered several drug categories associated with high incidence of conjunctivitis, such as Monoclonal Antibodies and Disease-modifying Antirheumatic Drugs (DMARDs). Among the top 50 drugs associated with conjunctivitis, 55.34% of reports were from females with 62.41% of reports originating in the US. The median age of individuals reporting was 52. Monoclonal Antibodies were significantly more widely reported compared to other identified drug categories, comprising 39.41% of total reports. The findings from this study have the potential to educate clinicians about emerging drug-related causes of conjunctivitis.
Keywords: conjunctivitis; drug reaction; adverse event; ocular surface disease

Introduction: The world has made remarkable progress in child survival in the past few decades. WHO in collaboration with UNICEF and the WORLD BANK, developed a set of evidence based interventions -“Child survival strategies” which when properly implemented would reduce under five mortality.
Objectives: 1. To assess the knowledge, attitude and practice of mothers having children aged less than 5 years about child survival strategies.
2. To determine the association between various sociodemographic variables and the knowledge, attitude and practice of mothers on child survival strategies if any.
Methodology: This is a hospital based Cross-sectional Study done at Urban Health Centre(UHC), Ankuli from November 2017 - October 2019. Mothers of children less than 5 years of age attending the UHC were the study subjects. Pre-designed, semi-structured questionnaire was used and data collected & analysed using SPSS 18.0.
Sample size: The sample size was calculated to be 237 and to this was added the nonresponse rate of 20% making it 285. The final sample was rounded off to 300.
Results: Around 41.3% (124) of the mothers were in the age group of 21 to 25 years and 72.7% (218) were literate. The occupation was associated with the practice of exclusive breastfeeding. (p =0.028). Literacy was associated with exclusive breast feeding, (0.037) knowledge about reconstitution of ORS(0.039) and practice of Family planning methods (P=0.042).
Conclusion: Awareness needs to be created among adolescents about correct age of marriage, pregnancy & appropriate ANC check-ups. Literacy was significantly associated with breast feeding practices, ORT and family planning practices.
Keywords: Growth monitoring; Oral rehydration therapy; Breastfeeding; Immunization; Family planning; Food supplementation; Female education

Eight heterocyclic compounds with chalcone, isoquinoline, quinoline, coumarin, benzothiazole pyrazolopyridine, and a chondroitin derivative were tested in-silico using PyRX docking with auto dock vina tool; the docking of ligands was carried out on two receptors associated with Alzheimer's disease, Human BACE-1 complex with AYH011 and Alzheimer's disease amyloid precursor protein copper binding domain. The standard drugs tested for validation of the methods were donepezil and Resveratrol. The promising candidates selected for further studies were chondroitin 4,6 disulphate(,-7.3,-5,6), 4-chloro chalcone(-7.1,-6.8), 4-chloro-6-fluoro quinoline(-6.2,-5.8), 3-chloro iso coumarin (-6,1,-5.7) based on comparison to Donepezil(-8.3 ,-7.0) and Resveratrol (-6.9,-6.7).The Swiss-ADME parameters were found satisfactory. Lipinsky rule was followed (Swiss- ADME). Heterocyclic compounds have been widely used for the development of drugs for diseases like cancer and Alzheimer's. Further structural modification and clinical and animal studies are yet to be done for drug development. SAR techniques can be employed to develop better lead molecules.
Keywords: Alzheimer’s; PyRX; Fused- Heterocyclics; Docking; Validation

Background: Chronic kidney disease is a growing global health issue, leading to high morbidity and mortality rates. Hemodialysis patients are particularly vulnerable to complications such as iron deficiency, anemia, and lipid profile abnormalities.
Objectives: This study aims to determine the prevalence of iron deficiency, anemia, and dyslipidemias and to explore the relationship between these conditions.
Material and Methods: We conducted an observational, descriptive, cross-sectional, prospective, and monocentric study at the Organ and Tissue Transplantation Department of Frantz Fanon Hospital in Blida, Algeria, from March to May 2024. Ferritin, hemoglobin, mean corpuscular volume, and a complete lipid profile were assessed for each patient.
Results: Sixty hemodialysis patients aged 18 and older were included in this study. The results indicate that 30% of patients suffer from iron deficiency, while 81.7% have anemia. Regarding the lipid profile, 65% of participants have dyslipidemia, with hypertriglyceridemia (35.9%) and hyper-LDL-cholesterol (23.1%) being the most common. Spearman correlation analyses show a significant inverse relationship between ferritin levels and total cholesterol concentrations (R = -0.417, p<0.05), triglycerides (R = -0.365, p <0.05), and LDL-cholesterol (R = -0.48, p <0.05). However, no significant correlation was found between ferritin and HDL-cholesterol (R = 0.234, p>0.05).
Conclusions: These results highlight the need for integrated and personalized clinical management for hemodialysis patients. Appropriate nutritional interventions and regular monitoring are crucial to optimizing clinical outcomes and improving the quality of life for these patients.
Keywords: Chronic kidney disease; iron deficiency; anemia; dyslipidemia; correlation

Ludhiana, located in Punjab, India, is increasingly focusing on sustainable transportation solutions amidst global efforts to combat climate change. Electric vehicles (EVs) have emerged as a key component of this strategy, promising reduced emissions and energy efficiency gains. This report explores the current status of EV adoption in Ludhiana, including infrastructure development, policy initiatives, challenges, and future prospects.

The design process of new additions to historic buildings out of the adaptive reuse process is a complex task. The designer of new additions needs to act in accordance with international agreements, charters and regulations in the field of preservation and conservation in all interventions. The aim of the paper is to highlight and summarize the design principles and guidelines of new contemporary additions to historic building, through the adaptive reuse process of historic and heritage buildings. The method used in this research is an in-depth study and review of various literature related to the topic, by analyzing various researches concentrate on adaptive reuse process of historic buildings and the design process of new architectural additions. The results of the research is to summarize and highlight specific design principles of new addition to historic and heritage building, and produce a clear review of the research subject.
Keywords: New additions; Contemporary Addition; Adaptive Reuse; Heritage; Design Principles

In the paper mathematical model of moving particles on a circle which can be used for transport systems is considered. In the capacity of efficiency index is taken an average waiting time of particle at the fixed point of a circle. Such a model can be applied for analyzing transport systems for finding an optimal number of transport units, optimizing an operation of a system. Numerical examples demonstrated theoretical results are given.
Keywords: motion on a circle; absolute stable regime; saturated regime; optimal number of moving particles; efficiency index; diagram of a motion

This paper rigorously and concisely defines, in the context of our (Elementary) Mathematical Data Model ((E)MDM), the mathematical concepts of self-map, composite mapping, totality, one-to-oneness, non-primeness, ontoness, bijectivity, default value, (null-)reflexivity, irreflexivity, (null-)symmetry, asymmetry, (null-)idempotency, anti-idempotency, (null-)equivalence, acyclicity, (null-)representative system mapping, the properties that relate them, and the corresponding corollaries on the coherence and minimality of sets made of such mapping properties viewed as database constraints. Its main contribution is the pseudocode algorithm used by MatBase, our intelligent database management system prototype based on both (E)MDM, the relational, and the entity-relationship data models, for enforcing self-map, atomic, and composite mapping constraint sets. We prove that this algorithm guarantees the satisfiability, coherence, and minimality of such sets, while being very fast, solid, complete, and minimal. In the sequel, we also presented the relevant MatBase user interface as well as the tables of its metacatalog used by this algorithm.
Keywords: self-map properties; satisfiability; coherence, and minimality of constraint sets; (Elementary) Mathematical Data Model; MatBase; db and db software application design

With the proliferation of microservices architectures and the adoption of multi-cloud environments, ensuring robust security measures becomes paramount. This paper delves into the significance of security vulnerability detection and monitoring within microservices deployed across multiple cloud platforms. It specifically explores the utilization of Sysdig, a comprehensive container security platform, to enhance security posture in such complex environments. Through an analysis of challenges, best practices, and real-world implementations, this research aims to provide insights into effective strategies for safeguarding microservices in multi-cloud setups.
This paper delves into the critical importance of security vulnerability detection and monitoring within microservices architectures deployed across multiple cloud platforms. Specifically, it investigates the utilization of Sysdig, an advanced container security platform, as a pivotal tool in enhancing security postures in these intricate and dynamic environments. Through an in-depth analysis of the prevailing challenges, exploration of best practices, and examination of real-world implementations, this research aims to offer valuable insights into effective strategies for safeguarding microservices within the complexities of multi-cloud ecosystems. By scrutinizing the role of Sysdig in mitigating security vulnerabilities and bolstering monitoring capabilities, this paper endeavors to provide actionable recommendations for organizations seeking to fortify their security infrastructure amidst the ever-evolving landscape of cloud-native technologies.
Keywords: Microservices; Container; Multi Cloud; Sysdig; Microservices Security; Kubernetes; Pods; Micro-services

This systematic literature review draws into multiple theories, such as resource-based view, sociotechnical systems theory, technology acceptance model, dynamic capabilities theory, contingency theory, cybernetic, and human machine interaction Theory, to explore how artificial intelligence, automation, and human expertise can optimize cybersecurity operations through complementary roles and continuous feedback mechanisms. The outcomes of this study introduce two conceptual models that respond to this objective. The symbiotic integration framework, which promotes continuous interaction and ethical oversight between AI systems and human operators, and the symbiotic maturity integration model, which maps the progressive stages of AI-human integration from initial to optimized. This study addresses the literature gaps related to the symbiotic relationship between AI and human expertise in cybersecurity operations, providing a pathway for adaptive, resilient cybersecurity practices that align with organizational values and enhance defensive capabilities in a dynamic threat landscape.
Keywords: Systematic literature review; Automation in Cyber Defense; Artificial Intelligence Integration; AI-Human Interaction; Operational Effectiveness; AI in Threat Detection; Cybersecurity Decision-Making

Many people suffer from a state of rot as an inevitable result of continuous viewing of phones or smart tablets, as continuous and crazy viewing of such devices contributes to creating a state of weakness in human perception of everything around him and puts him in a state of temporary coma in feeling material things as well as things with a moral dimension. Such a matter may make a person indifferent to what he is going through and make him live in a state of mental winter and brain fog that he may go through while awake or asleep. Such a matter may be closer to causing a person to suffer from a state of madness, loss of self-confidence and a feeling of alienation.

The proposed program aims to improve poor people's health by breeding staple food crops rich in micronutrients, a process referred to here as “biofortification.” The Biofortification Challenge Program seeks to bring the full potential of agricultural and nutrition science to bear on the Persistent problem of micronutrient malnutrition. Micronutrient malnutrition, primarily the result of diets poor in bioavailable vitamins and minerals, affects more than half of the world’s population, especially women and preschool children. The costs of these deficiencies in terms of lives lost, forgone economic growth, and poor quality of life are staggering. Billions of people in developing countries suffer from an insidious form of hunger known as micronutrient malnutrition. Even mild levels of micronutrient malnutrition may damage cognitive development, lower disease resistance in children, and reduce the likelihood that mothers survive childbirth.

The author, overcoming the crisis state of studying this phenomenon, interprets it on three levels – social, psychological and somatic, asserting that at present the leading one is psychological. Problems that require the construction of a new understanding of trauma are formulated. Three variants of the formation of trauma as an ideal object are considered, depending on the level at which changes in the whole are initiated. The argumentation of the provisions on trauma is based, on the one hand, on the author's doctrine of psychic realities, on the other hand, on the analysis of specific cases (cases of trauma). The role of semiotic schemes in explaining the process of the formation of trauma and its possible healing is discussed.

Keywords: trauma; psyche; sociality; somatics; whole; process; problems; schemes; realities

Laparoscopic cholecystectomy (LC) is the gold standard for surgical treatment of cholecystitis with gallstones. In one of the Philippines’ high-volume centers for LC which does about 600 procedures a year, the authors retrospectively reviewed 2,698 records from January 2017 to December 2021 to identify significant factors associated with difficult LC. The authors identified common clinical, biochemical and radiologic factors that affected the difficulty level of such procedure. Patients predicted to have a high risk of difficult LC should be scheduled for longer operating room slots, informed of possibility of longer hospitalization and monitored more closely postoperatively. This information may help the institution improve efficiency. This study showed that around 21.98% of the patients had difficult LC. Almost all (99.2%) were considered difficult as the procedure lasted for more than two hours. Among the 18 laparoscopic surgeries converted to open, 88.89% were because there was failure to identify the critical view of safety. The overall conversion-to-open rate was 0.67 %. There are predictive factors that can be assessed preoperatively to anticipate the difficulty of a laparoscopic cholecystectomy such as being male, per unit increase in body mass index (BMI), having a history of jaundice, having a history of fever, history of laparoscopic abdominal surgery and having right upper quadrant tenderness. Radiologic factors also strongly associated with difficult LC are thickened gallbladder wall, dilated common bile duct, impacted gallbladder stone, pericholecystic fluid, cirrhosis, and per centimeter increase in size of the largest stone.

Keywords: Cholecystectomy; Cholecystitis; Conversion; Difficult; Gallbladder; Gallstones; Laparoscopy; Laparoscopic; Predictors

We all remember the technocrats and the so-called “experts” and other proponents of medical tyranny repeated “follow the science” over and over during COVID and beyond, all the while they were lying to our faces with prevaricating mantras such as, “safe & effective.” One notorious instigator, Anthony Fauci, of the democide actually said he was the “science.” Given he controlled billions of dollars of grants and also controlled those who would get them, he was in full control of the scientific research environment. While he had a job at the NIH, he seemed to be the top biowarfare man of the USA in charge of making sure there were plenty of contagious pathogens that could be used against humanity. Culling humanity was the ultimate agenda. What he should have said is “I am the Scientism.” It is not speculation that we have been subjected to a democide, and as of this writing no one has been held criminally accountable. Thus, they will try again…. after all… why not?

Personalized nutrition based on an athlete’s genetic profile has emerged as an effective strategy for optimizing performance in soccer. This review aims to analyze how nutrigenetic-guided personalized nutrition can enhance soccer performance. Nutrigenetics identifies genetic polymorphisms that influence key physiological processes, including carbohydrate metabolism, muscle recovery, strength generation, aerobic endurance, and thermoregulation. Key genes such as ACTN3, ACE, IL6, BDKRB2, and AMPD1 play critical roles in these processes, directly impacting athletic performance. Personalized nutritional strategies tailored to these genetic insights can optimize glycogen utilization, modulate inflammatory responses, enhance muscle strength and oxygenation, and support adequate hydration. The application of nutrigenetics in soccer not only enhances on-field performance but also reduces injury risk and accelerates recovery, representing a valuable tool for the nutritional management of high-performance athletes.

Electric vehicle (EV) technology has experienced remarkable development and progress globally over the past decade. Driven by the urgent need to reduce greenhouse gas emissions, dependence on fossil fuels, and to mitigate urban air pollution, governments and automakers have heavily invested in EV technology, leading to significant advancements.

This research examines the architectural and cultural significance of traditional tower houses in Albania, emphasizing their unique characteristics, historical context, and the challenges posed by neglect and abandonment. It underscores the potential of restoring and revitalizing these structures to enhance their structural integrity and foster economic development in rural areas. By employing traditional surveying methods alongside archival documentation, the study aims to digitize some of these culturally significant buildings through the creation of digital models and maps. This approach enables a comprehensive assessment of their current condition and suitability for restoration. A key contribution of this research is its integration of modern technology with traditional preservation practices, offering a framework for restoring these historical structures while safeguarding Albania's architectural heritage. The study highlights the critical role of public awareness campaigns, community engagement, and funding strategies in ensuring the sustainability of preservation efforts. By merging technological innovation with sustainable development strategies, this research provides a holistic roadmap for the protection and economic revitalization of Albania’s tower houses, serving as a model for preserving cultural heritage worldwide.
Keywords: Restoration; Cultural Heritage; Traditional Towers; Digital Documentation; Economic Development