bluuebunny/crossref_metadata_2025 huggingface dataset:
Challenges and strategies for implementing the Ramsar Convention. Balancing Economic Development and Wetland Conservation
Authors: Dragomir Andreea-Nicoleta , Florescu Ioana
Published: October 2024

Ramsar Convention on Wetlands of International Importance, particularly focusing on waterfowl habitats, signifies a pivotal shift in global attitudes towards wetland conservation. Historically viewed as hindrances to development, wetlands have suffered from drainage and reclamation efforts, resulting in significant biodiversity loss. However, a growing recognition of their ecological significance has spurred international action. The Convention, established in 1971, serves as a landmark agreement to safeguard wetland ecosystems. It mandates member states to designate and conserve wetlands within their territories, emphasizing the importance of international cooperation due to the transboundary nature of wetland ecosystems. The Convention’s objectives encompass sustainable development goals, including water quality, biodiversity, and climate change mitigation. Implementation relies on national policies and collaboration among stakeholders. Furthermore, the Convention aligns with other environmental agreements, fostering synergies to enhance wetland protection globally. Despite these positive developments, there are significant challenges in ensuring the effective implementation of the Convention, particularly when economic interests conflict with environmental conservation. As highlighted in the case of the Bystroe Canal project in the Danube Delta, balancing development with wetland protection remains a critical issue. This article addresses the question of whether the Ramsar Convention can effectively apply its provisions in such cases, arguing that while it provides a strong framework, its effectiveness is often undermined by competing economic priorities. Without stronger enforcement mechanisms and increased international cooperation, the objectives of the Convention risk being compromised.
Peace Education through Agroecology and Organic Farming
Authors: Caporali Fabio
Published: October 2024

In this paper, the challenge of peace education appears as an emergent cultural need in a context of conflictual relationships among human beings and between human beings and their life environment. All sectors of human activity, including agriculture, can potentially contribute to building a cultural barrier to a mounting wave of wars. The ecological approach to agriculture through the ecosystem concept is suitable for unveiling the power of cooperation in developing symbiotic relationships between and among agroecosystem components for attaining a balance of ecosystem services (supporting, provisioning, regulating, and cultural). Enhancement of biodiversity within and between cultivated fields is key for the maintenance of sustainable agriculture, land management, and viable rural community. Scaling up cooperation among hierarchical levels of agriculture organisation (field, farm, and regional, national, international landscapes) appears as the most promising solution for developing a coherent framework consistent with building a peaceful attitude for managing both land, food systems, and friendly relationships among human beings. Organic farming is already a certified and appreciated method of agriculture production that has a potential for improving a peaceful attitude when supported by the core principles of Agroecology.
An Assessment of Antidepressant Activity of Etlingera elatior Alone and in Combination with Fluoxetine
Authors: D’ Souza Ullas Prakash , Subraya Chandrashekar Kodangala , Bhowmick Partha , Pai Vasudev , Pai Aravinda
Published: October 2024

Aim:

Present study deals to access the antidepressant activity of Etlingera elatior
leaves extract in rodent.

Background:

Etlingera elatior is a species of herbaceous perennial plant in the family Zingiberaceae;
native to Indonesia, Thailand, Malaysia and New Guinea. Depression is one of the most
common mental disorders affecting humans, pathological basis of which is not fully understood.
The current antidepressant drugs have several adverse effects including their effects on cognition.
Therefore, natural product are being evaluated for their antidepressant activities.

Objective:

In this study, Etlingera elatior leaf extracts are being evaluated for antidepressant activity
in rodent models. A wide range of synthetic medicines that can be used to treat depression
which may exerts various side effects such as dry mouth, gastrointestinal problems, nausea, respiratory
problems, cardiac arrhythmias, drowsiness, anxiety etc. Hence, it becomes essential to
discover new anti-depressant drug with more potency, efficacy and safety profile than those of
marketed synthetic drugs.

Methods:

Using the forced swimming test, the tail suspension test, mouse 5-HTP-induced head
twitches and estimation of brain lipid peroxidation modelsthe antidepressant efficacy of Etlingera
elatior ethanolic extract was examined. Imipramine was used as reference standards.

result:

According to our study, Etlingera elatior significantly (p0.01) reduced immobility in tail suspension, forced swimming, and 5-HTP-induced head twitches in mice with depression that were comparable to imipramine.

Results:

According to our study, Etlingera elatior significantly (p 0.01) reduced immobility in
tail suspension, forced swimming, and 5-HTP-induced head twitches in mice with depression that
were comparable to imipramine.

Conclusion:

Based on the results obtained we can conclude that Etlingera elatior leaves extract
possess significant antidepressant activity. The antidepressant effectiveness of Etlingera elatior
leaves extract can be confirmed in the future by adding more models, and attempts can also be
made to isolate and characterise the phytoconstituents responsible for the pharmacological action.
BER Analysis of Underlay Cooperative Cognitive Radio-based NOMA System
Authors: AD Meriem , Khelil Abdellatif
Published: October 2024

Background:

The integration of Cooperative Communications (CC), Cognitive Radio
(CR) technology, and Non-Orthogonal Multiple Access (NOMA) techniques, termed Cooperative
Cognitive Radio used NOMA (CCR-NOMA) systems, has emerged as a promising solution to address
spectrum scarcity and connectivity challenges anticipated in sixth generation (6G) networks.

Aim:

This studyaims to investigate the Bit Error Rate (BER) performance of underlay CCRNOMA
systems.

Methods:

We derive precise closed-form expressions for BER at distant users under perfect and
imperfect Channel State Information (CSI) conditions. These mathematical formulations are validated
through Monte Carlo simulations.

Results:

Our results indicate that the near user CU! exhibits superior performance compared to the
far user CU!. Additionally, distant users utilizing the CCR-OMA protocol demonstrate better BER
performance than those employing the CCR-NOMA protocol.

Conclusion:

The presence of imperfect CSI adversely affects BER performance. Moreover, the derived
closed-form expressions for BER in the investigated system align well with Monte Carlo simulations.
These findings provide valuable insights for optimizing the performance of CCR-NOMA
systems in real-world scenarios.
Copper Nanoparticles: Characterization, Synthesis, and Biological Activity – A Review
Authors: Dakhore Dhanashri A. , Dhamane Suchita P. , Chintewar Sneha N. , Gomase Virendra S.
Published: October 2024

Copper and copper-based nanoparticles, derived from the abundant and cost-effective
copper metal, have garnered significant attention due to their unique properties and potential for
various applications. Copper is a biogenic metal that is found in all kingdoms of life and has a variety
of essential biological activities. Among the earliest metals that humanity has harvested and exploited,
copper has played a crucial role in maintaining and advancing civilization since the beginning
of time. The article provided sources that shed light on the synthesis, characteristics, and applications
of copper and copper nanoparticles, highlighting their historical significance and diverse
range of uses.
Recent Advancement in Applications of Hybrid Superconductor and Semiconductor Nanomaterials
Authors: Deka Manash Jyoti , Majumdar Sibani
Published: October 2024

The study of the characteristics of materials with a size range of 1–100 nm
is referred to as nanoscience. Nanotechnology deals with manipulating the molecular
structure of materials to modify their inherent properties and acquire new properties
with novel use. The principles of nanotechnology can be incorporated with superconductivity
as well as in semiconductors. Superconductivity is a promising physical
property of materials, and it has been an intriguing and stimulating subject of research
due to its practical application in several fields. The development of new technologies
depends on novel materials. One such material is hybrid superconductor/
semiconductor nanomaterial, which has now been recognized as an exciting material
for different applications due to its exceptional physical and chemical properties.
There is a report on implementing capable superconductors in induced proximity of a
substantial energy difference in semiconductors when strong magnetic fields are present.
It is among one of the objectives for applications of superconductor/
semiconductor hybrid nanomaterials in quantum information technologies in the future.
These materials have numerous applications in different fields such as photoinduced
superconductors, amplifiers, electric grids, SQUID, quantum computing devices,
magnetometers, and various smart technologies including electronics, and the energy
sector. These superconductor/semiconductor hybrid nanomaterials could be considered
as the foundation of next-generation technology. This mini review aims to
compile the fabrication techniques and properties of these hybrid nanomaterials and
their potential applications as well as promising avenues of future aspects.
Identification of Gram Negative Bacteria in the Urine of Catheterized Patients at Referral Hospital in Ternate
Authors: Waraningsih Septiana , Do Toka Wahyunita , Dahlan Muhammad , Rachman Ismail
Published: October 2024

Infections can occur anywhere and often occur usually sourced from hospitals. Nosocomial infection is an infection caused by various microorganisms, one of which is bacteria originating from the hospital environment. Gram-negative bacteria, especially the Enterobacteriaceae family, are the main bacteria that cause nosocomial infections. One of the common infectious diseases in health care is urinary tract infection and some UTIs are caused by catheter insertion. This research aimed to identify gram-negative bacteria in the urine of catheterized patients at RSUD Dr. H. Chasan Boesoirie, a referral hospital in Ternate. The research method is descriptive observational with a cross sectional approach using a total sampling technique obtained 83 samples from November 14, 2023 to December 17, 2023. The results showed that 7 samples (8.4%) were identified as positive for gram-negative bacteria with 7 types of bacterial species and the highest percentage of bacteria was Escherichia coli (33.4%). The use of urinary catheters was mostly female (55.4%) with the highest age in the age group 56-65 years (34.9%) and the duration of urinary catheter use was mostly in samples with a duration of <72 hours (90.4%). In conclusion, gram-negative bacteria were identified in the urine of catheterized patients.
Impact of Obesity on Dysmenorrhea and Lower Urinary Tract Symptoms in Adenomyosis Patients
Authors: Anggraeni Asih , Insan Ksyatria Yudhistya Ngudi , Baidlowi Akhmad Ikhwan
Published: October 2024

Obesity poses a substantial health challenge globally, affecting various aspects of reproductive health, including adenomyosis. Adenomyosis, characterized by the presence of endometrial tissue within the myometrium, commonly affects women during their reproductive years, leading to symptoms such as dysmenorrhea and lower urinary tract symptoms (LUTS). This study aimed to investigate the influence of obesity on dysmenorrhea and LUTS severity in adenomyosis patients, considering demographic factors such as age and educational levels as potential moderators. Forty-four adenomyosis patients participated in a cross-sectional study at Dr. Moewardi General Hospital in Surakarta City of Indonesia, between April and September 2023. Diagnosis was confirmed using 2D Transvaginal Ultrasound (2D-TVUS). Obesity was defined using Body Mass Index (BMI) categories, and dysmenorrhea and LUTS were assessed using the Numerical Rating Scale (NRS) and modified International Prostate Symptom Score (IPSS) questionnaire, respectively. Statistical analyses included Pearson correlation. Results indicated a significant positive correlation between obesity and dysmenorrhea (rho = 0.256, P = 0.049) and LUTS (rho = 0.292, P = 0.029). Age and educational level did not significantly moderate these relationships, emphasizing the independent influence of obesity on symptom severity. In conclusion, obesity significantly impacts the severity of dysmenorrhea and LUTS in adenomyosis patients, highlighting the need for tailored management strategies that address both hormonal and inflammatory pathways.
Ocena zachowań zdrowotnych i wiedzy wśród pacjentów na temat profilaktyki zakażeń układu moczowego
Authors: Trząsalska Agnieszka
Published: October 2024

Wstęp. Zakażenia układu moczowego mają charakter nawracający. Istotnie wiążą się z zachowaniami zdrowotnymi prezentowanymi przez chorych.
Cel. Celem niniejszej pracy jest ocena zachowań zdrowotnych i wiedzy wśród pacjentów na temat profilaktyki zakażeń układu moczowego.
Materiały i metody. Badanie przeprowadzono wśród pacjentów hospitalizowanych w przebiegu ZUM. Zastosowaną w pracy metodą badawczą była metoda sondażu diagnostycznego. Narzędziami badawczymi były anonimowy kwestionariusz ankietowy oraz skala IZZ. W metodzie tej wykorzystano technikę, która opierała się na ankietowaniu. Wykonane badanie zostało oparte na podstawie autorskiego kwestionariusza ankietowego.
Wnioski. Po szczegółowej analizie danych za pomocą metod statystycznych sformułowano następujące wnioski: Zachowania zdrowotne badanych hospitalizowanych w przebiegu ZUM podlegają istotnemu zróżnicowaniu w zależności od zmiennych socjodemograficznych i wskaźnika BMI. Kategorie zachowań zdrowotnych badanych hospitalizowanych w przebiegu ZUM podlegają istotnemu zróżnicowaniu w zależności od zmiennych socjodemograficznych, obecności chorób współistniejących i BMI. Kategorie zachowań zdrowotnych badanych hospitalizowanych w przebiegu ZUM istotnie różnią się w zależności od wystąpienia u nich infekcji układu moczowego. Kategorie zachowań zdrowotnych badanych hospitalizowanych w przebiegu ZUM nie różnią się w zależności od ich wiedzy na temat profilaktyki zakażeń układu moczowego.
Rola i zadania pielęgniarki w opiece nad pacjentem onkologicznym, któremu w wyniku raka jelita grubego wyłoniono kolostomię – studium indywidualnego przypadku
Authors: Ostrowska Martyna
Published: October 2024

Wstęp. Rak jelita grubego jest jednym z najczęściej występujących nowotworów złośliwych, zajmującym trzecie miejsce pod względem zachorowalności zarówno wśród mężczyzn, jak i kobiet. Chirurgiczne leczenie raka jelita grubego często obejmuje wyłonienie stomii, co jest niezbędne w przypadkach, gdzie naturalny pasaż jelitowy jest niemożliwy lub niebezpieczny. Niniejszy artykuł naukowy opisuje przypadek pacjenta onkologicznego, u którego wyłoniono stomię z powodu raka jelita grubego, oraz omawia aspekty diagnostyczne, terapeutyczne i adaptacyjne związane z tą procedurą.
Cel. Celem pracy jest prezentacja przypadku pacjenta onkologicznego, u którego wyłoniono stomię w wyniku raka jelita grubego oraz omówienie aspektów diagnostycznych, terapeutycznych i adaptacyjnych związanych z tą procedurą.
Prezentacja przypadku. Pacjent, 68-letni mężczyzna, zgłosił się do szpitala ze skierowaniem na oddział do operacji. Diagnostyka potwierdziła gruczolakoraka w esicy. Przeprowadzono resekcję guza i wyłoniono kolostomię.
Wnioski. Wyłonienie stomii w leczeniu raka jelita grubego jest procedurą ratującą życie. Edukacja pacjentów i wsparcie psychologiczne są kluczowe w adaptacji do nowej sytuacji życiowej.
Transplantology: does our decision during life matter?
Authors: Jabłońska Aneta , Wróblewska Sylwia
Published: October 2024

Wstęp. Nie od dziś wiadomo, że istnieją na świecie choroby, które wymagają od medycyny o wiele więcej niż mogłoby się wydawać. Złotym środkiem na tego typu schorzenia stała się transplantologia, dziedzina medyczna, która dzięki swojemu prężnemu działaniu i rozwojowi pomogła wielu chorym, stając się niejednokrotnie jedyną metodą leczenia schyłkowej niewydolności narządów. Niestety liczba dawców w porównaniu do liczby biorców ma tendencje spadkową, co doprowadza do pogorszenia stanu zdrowia, a nawet i zgonu potencjalnego biorcy. Przyczyn takiego stanu rzeczy jest wiele, a najistotniejszym elementem jest nasza decyzja podjęta za życia, która po naszej śmierci staje się otwartą bramą do ratowania potrzebujących osób i nie pozostawia wątpliwości w sercach rodzin.
Cel. Celem pracy było przybliżenie istoty podejmowania za życia decyzji odnośnie naszej woli, czy po śmierci wyrażamy zgodę na oddanie narządów potrzebującym chorym.
Materiał i metody. Metoda zastosowana w pracy to analiza literatury i doświadczenia własne z ramienia koordynatora szpitalnego.
Przegląd. Transplantologia, określana mianem potężnej siły w polskiej medycynie, ciągle boryka się z przeciwnościami na wielu płaszczyznach, stając się tematem tabu. Z roku na rok rośnie liczba oświadczeń wpływających do Poltransplantu dotyczących braku zgody na pobranie narządów, nie tylko po śmierci, ale i za życia - do przeszczepów rodzinnych. Nie bierzemy pod uwagę, że „narząd” nie jest lekiem refundowanym przez ministerstwo, tylko przez ludzi i ich rodziny.
Wnioski. Pomimo tego, że Polacy są nazywani egocentrykami, rzadko spotyka się uświadomioną rodzinę dawcy odnośnie jego woli. Często decyzja spada na rodzinę, która kierując się swoim dobrem nie zgadza się na pobranie narządów od zmarłego już potencjalnego dawcy. Brak świadomości, brak rozmowy, a czasami brak empatii pozwala na odebranie komuś szansy na lepsze bądź często po prostu życie. Dlatego tak bardzo ważna jest nasza decyzyjność, która pozwoli koordynatorom szpitalnym bądź rodzinie postępować zgodnie z sumieniem potencjalnego dawcy.
Evaluating ICT development: Indicators, digital progress, and societal impact for sustainable development
Authors:   Center for Research in Development, Social and Environment (SEEDS), Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Bangi, Malaysia, Perumal Christopher ,   Faculty of Social Sciences and Humanities, Universiti Malaysia Sarawak, Sarawak, Malaysia, Lyndon Novel ,   Center for Research in Development, Social and Environment (SEEDS), Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Bangi, Malaysia, Sakawi Zaini ,   Center for Research in Development, Social and Environment (SEEDS), Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Bangi, Malaysia,   Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi, Malaysia
Published: October 2024

Measuring the progress of Information and Communication Technology (ICT) is important for achieving sustainable development. Various methods and indices have been created to evaluate the level of digitalization in a society or country. ICT indicators and indices involve choosing and weighing factors such as the accessibility, efficiency, and impact of ICT development. This study used the PRISMA method to select and review eighteen previous studies, focusing on the ICT development indicators they used and assessing their effects on society. It identified many indicators, with access, usage, and ICT skills being the most common. By examining these indicators, the study has gained insights into how to measure digital progress, assess the digital divide, create strategic policies, and evaluate the influence of ICT on human and social capital. The study concludes that the development and selection of ICT indicators should be broadened beyond the current framework to improve the effectiveness and relevance of ICT development goals.
SECURING AND ADVANCING ROAD SAFETY IN INTELLIGENT VEHICULAR NETWORKS FOR SEAMLESS AND SECURE COMMUNICATION
Authors:   PSG College of Arts and Science, India, R Saranya , A Tamizhselvi ,   St. Joseph's College of Engineering, India, Charan Piyush ,   Manav Rachna University, India, Ahmed Syed Arfath ,   Maulana Azad National Urdu University, India
Published: October 2024

Intelligent vehicular networks leverage communication technologies to enable vehicles to interact with each other and with infrastructure elements, such as roadside units and traffic signals, to enhance road safety and efficiency. However, the open nature of these networks exposes them to various security threats, including data interception, tampering, and unauthorized access. Traditional encryption methods may not suffice to address these challenges, necessitating the adoption of advanced cryptographic techniques like ECC and RSA. Prior research in the field has primarily focused on either enhancing communication protocols or improving security measures independently. However, there is a notable gap in research that comprehensively addresses both aspects simultaneously. This study aims to fill this void by proposing an integrated approach that ensures both seamless communication and robust security in intelligent vehicular networks. The proposed methodology involves the design and implementation of a hybrid cryptographic scheme combining ECC and RSA algorithms. This scheme will be integrated into the existing communication infrastructure of intelligent vehicular networks. The performance of the system will be evaluated through simulations and real-world experiments to assess its effectiveness in securing communication channels while minimizing overhead. The results show the effectiveness of the proposed ECC-RSA hybrid encryption scheme in securing communication channels within intelligent vehicular networks. The integration of ECC and RSA protocols not only enhances the security of data transmission but also ensures seamless communication, thereby advancing road safety in intelligent vehicular environments.
POSITION BASED ROUTING USING INTERNET CONTACT TO VANET THROUGH SATELLITE RECEIVE-ONLY TERMINAL
Authors:   Sharnbasva University, India, A. Dulange Shradha , Umashetty Ambika ,   Sharnbasva University, India, Hosmani Sridevi ,   Sharnbasva University, India
Published: October 2024

The most challenging barrier to expanding connectivity of Internet to vehicle ad hoc networks is the necessity for vast proper infrastructure of roadside network. This need is problematic to meet, specifically in the early stages of vehicle network building & in zones with limited infrastructure of roadside. As a result, that solutions rely exclusively on roadside structure are unworkable. Other remedies, like cell phone networks / symmetrical communications via satellite, are also too expensive or do not deliver adequate connectivity, putting the change to a robust VANET difficulty in the later stages. We provide one method that supplements obtainable ones while avoiding the need for completely networked roadside infrastructure. To provide widespread Internet access, the approach employs satellite receive-only endpoints and a small number of (widely dispersed) wayside devices. The solution is affordable, gradual, and practical. We show numerous design possibilities that can be employed depending on the environment.
Innovative Machine Learning Strategies for DDoS Detection: A Review
Authors: Ali Omar Mohammed Amin , Hamaamin Rebin Abdulkareem , Youns Barzan Jalal , Kareem Shahab Wahhab
Published: October 2024

This is a broad survey that investigates the use of machine learning (ML) methods for detecting distributed denial of service (DDoS) attacks. Traditional intrusion detection systems face difficulties in application-layer DDoS attacks because they target legal web traffic forms using standard transmission control protocol connections. This paper reviews different ML methods used in recent studies to tackle these issues. These studies use various data sets, such as UNSW-np-15, CICDDoS2019, and the novel dataset LATAM-DDoS-Internet of Things., which prove the efficacy of the proposed models in terms of accuracy and performance metrics. The second group of studies shows more advanced designs, such as protocol-based deep intrusion detection and autoencoder-multi-layer perceptron. These use deep learning to find features and group attacks. All of these approaches present favorable outcomes when it comes to distinguishing normal, DoS, and DDoS traffic with a high level of accuracy. Furthermore, the review discusses works that emphasize the early detection of noise-robust models and distributed frameworks. Different techniques, such as snake optimizer with ensemble learning, metastability theory, and spark-based anomaly detection, highlight the trend of predicting DDoS attacks, whereas hyperband-tuned deep neural networks and evolutionary support vector machine models show higher accuracy in cloud systems as well as software-defined networking environments. Hence, this review gives a general observation of how DDoS attacks develop on their way and proves that ML techniques help to strengthen network security.
Male Nursing Students’ Perceptions of Their Clinical Practice in Maternity Hospital at Sulaymaniyah Polytechnic University and University of Sulaymaniyah Colleges of Nursing
Authors: Saeed Mahabat Hassan
Published: October 2024

Background: The field of nursing remains dominated by women in many countries. Males joining the nursing and midwifery fields are becoming more numerous, and with that comes more problems during training. It is crucial to comprehend the experiences and difficulties faced by male nursing students during their nursing education, as these obstacles differ depending on the culture. Aims: The objectives of the study are to explore the perceptions of male nursing students at Sulaimani Polytechnic University and University of Sulaimani Colleges of Nursing about their clinical maternity hospital. Materials and Methods: A quantitative-descriptive design has been carried out in Sulaimani city. A non-probability, convenience sample size of (100) students was included in this study over a period of 1 month. Through an extensive review of relevant literature, a questionnaire was designed for data collection. Results: The results confirmed that male nursing students generally feel more comfortable performing procedures that do not involve exposure to private parts compared to those that do involve such exposure. The association between age groups, marital status, Residency College, and comfort level is not significant (P > 0.05). While, the P = 0.045, indicating that the association between class and comfort level is significant (P < 0.05). Conclusion: The study indicated that while the participants regarded the maternity clinical practice to be difficult, they did not show any interest in doing the maternity course. It was believed that male nursing students’ experiences with maternity clinical practice would be enhanced by acceptance and more specialized training in the clinical setting.
Therapy Mode Preference Scale: Preliminary Validation Methodological Design
Authors: Cerrito Brianna , Xiao Jamie , Fialk Amanda , Buono Frank D
Published: October 2024

Background

The use of tele–mental health care increased rapidly in 2020 as a critical response to the COVID-19 pandemic, serving as an effective contact-free alternative to treatment. Today, tele–mental health care remains a viable option for individuals with geographic and physical barriers to treatment. However, there are several potential therapeutic disadvantages to tele–mental health care (ie, missing nonverbal signals, handling crises, confidentiality, weakened social connection in group therapy) that should be evaluated. While published literature has explored client satisfaction within teletherapy and the effect of using technology for tele–mental health care demands, there is a need for published surveys that evaluate the therapeutic experience in teletherapy and in-person mediums of care.

Objective

The authors of this study sought to develop and validate a survey that could evaluate the comparative impact of teletherapy and in-person care from a therapeutic perspective across key factors (ie, therapeutic alliance, engagement, rapport, and confidentiality).

Methods

Participants were clients who experienced both tele–mental health care and in-person therapy at an intensive outpatient mental health treatment program for young adults from April 2020 through June 2022. Generated items on the survey were formulated based on input from experts in the field and existing validated scales. All individuals completed the survey on the internet, following informed consent (n=89). An exploratory factor analysis was conducted to understand factor structure, and Cronbach α was used to determine internal consistency. Incremental validity was demonstrated through a hierarchical linear regression.

Results

The exploratory factor analysis revealed a 14-item, 3-factor structure. All 14 items correlated at a minimum of 0.30 with at least one other item. Kaiser-Meyer-Olkin measure of sampling adequacy was 0.75 and Bartlett’s test of sphericity was significant (χ291=528.41, P<.001). In total, 3 factors accounted for 61% of the variance, and the preliminary Cronbach α (α=0.71) indicates a satisfactory level of internal consistency. The Zoom Exhaustion and Fatigue Scale (ZEF) and Client Satisfaction Questionnaire (CSQ; −0.29) were significantly correlated, as well as the ZEF and Therapy Mode Preference Scale (TMPS; −0.31), and CSQ and TMPS (0.50; P<.001). Hierarchical linear regression revealed that the CSQ significantly accounted for additional variance in the TMPS (P<.001). With the ZEF entered into the model, no further variance was accounted for (P=.06).

Conclusions

Continual research is warranted to expand the current findings by validating this standardized tool for assessing the therapeutic impact of teletherapy versus in-person care in a generalizable population.
Waveform of the Reflected Impulse at the Oblique Sounding of the Sea Surface
Authors: Karaev Vladimir , Titchenko Yuriy , Panfilova Mariya , Meshkov Evgeniy , Kovaldov Dmitry
Published: October 2024

The height of sea waves is one of the most important characteristics describing the wave climate of the ocean. At the present, the main radar for remote measurement of wave heights is an altimeter. Measurements are performed at the vertical sounding (incidence angle equal to zero). The Brown model was developed to describe the waveform of the reflected impulse at the vertical sounding. There is no theoretical model for the case of oblique sounding. In the Kirchhoff approximation, the theoretical task about waveform of the reflected impulse at oblique sounding was considered. In the result of the investigation, the analytical formula for the waveform of the reflected impulse for oblique sounding at the small incidence angles (< 12◦) for a microwave radar with a narrow antenna beam was obtained. The waveform of the reflected impulse depends on the width of antenna beam, incidence angle, impulse duration, significant wave height (SWH), altitude of the radar, mean square slopes of large-scale, in comparison with radar wavelength, sea waves. It is shown that possibility exist to retrieve SWH using waveform the reflected impulse at the oblique sounding.
Research on Management Strategies for Generation Z Employees from the Perspective of Two-Factor Theory
Authors: Zhou Lili , Ma Yuzhu
Published: October 2024

As Generation Z becomes a significant force in the workforce, corporate management faces new challenges. Generation Z employees exhibit strong individuality, autonomy, and a high reliance on digital technology, while also possessing a global perspective and a diverse cultural background. They place greater emphasis on autonomy, career development opportunities, psychological satisfaction, and social recognition in their work. Therefore, when motivating Generation Z employees, companies must not only meet their basic needs for compensation and working conditions (hygiene factors) but also stimulate their intrinsic motivation and work enthusiasm through providing career development opportunities, innovative tasks, and recognition mechanisms. This paper, based on Herzberg's Two-Factor Theory, explores strategies to effectively manage and motivate Generation Z employees by adjusting incentive mechanisms and optimizing team building to enhance corporate competitiveness and employee satisfaction.
Review on Alzheimers Disease
Authors: Nikam Mahima Anil , Nikam Janhavi Anil , Gaikwad Dhanshri Sanjay
Published: October 2024

Abstract: Loss of Abstract Thinking Someone with Alzheimer’s disease may lose the ability to draw conclusions and solve problems. It may become difficult to balance a checkbook, for example, because the patient has forgotten what to do with the numbers. About 29.8 million people worldwide had been diagnosed with Alzheimer’s disease (AD) in 2015, And the number is projected to triple by 2050. In 2018, AD was the fifth leading cause of death in Americans with 65 years of age or older, but the progress of AD drug research is very limited. It is Helpful to identify the key factors and research trends of AD for guiding further more effective Studies. Alzheimer’s disease is a degenerative disease of the brain, the most common cause of dementia in the geriatric population, and a major cause of death. Alzheimer’s disease is one of the fastest growing risk factors in middle age, which Increases the risk of Alzheimer’s disease in coronary weddings and higher levels of Homocysteine, which can lead to withdrawal due to lifestyle changes. Cigarettes prevent Alzheimer’s disease by recalling memories. Also, despite the fact that there is no Definitive cure for Alzheimer’s, the ability to increase acetylcholine levels and reduce Ameloid beta deposition and your medications such as Donepezil has proven to be very Effective when treating Alzheimer’s disease (AD) is a progressive neurodegenerative disease. It Is characterized by progressive cognitive deterioration together with Declining activities of daily living and behavioral changes. It is the Most common type of pre-senile and senile dementia. Alzheimer disease (AD) is a heterogeneous disease with a complex pathobiology. The presence Extracellular b-amyloid deposition as neuritic plaques and intracellular accumulation of hyperphos . Phorylated tau as neurofibrillary tangles remains the primary neuropathologic criteria for AD diagnosis. However, a number of recent fundamental discoveries highlight important pathological roles For other critical cellular and molecular processes. Despite this, no disease-modifying treatment Currently exists, and numerous phase 3 clinical trials have failed to demonstrate benefits. Here ,We review recent advances in our understanding of AD pathobiology and discuss current treatment Strategies, highlighting recent clinical trials and opportunities for developing future disease modifying therapies.
Effect of Glyphosate on Behavioral Changes in a Fresh Water Fish, Labeio Rohita in Sarju River of Gonda, Uttar Pradesh
Authors: Singh Praphulla Narayan
Published: October 2024

The present study showed that the glyphosate is toxic and causes behavioral changes in Labeio rohita. The LC50, values of glyphosate conducted to be as 0.018 ml/l; 0.015; m1/1; 0.012 m1/1 and 0.010 m1/1 at 24, 48, 72 and 96 hours. A thick coat of mucus over the body and loss of stability noticed may be due to none functioning of the brain. The colors of the tested fishes appeared little pale as compared to the normal fishes. Hyper excitability followed by lethargy was observed by the jerky and random movement of fishes just after the addition of toxicants. Due to the low rate of oxygen uptake, fishes came to the surface to engulf air frequently. Herbicides, commonly employed to control unwanted vegetation in crops, can enter water bodies through runoff, leading to unintended consequences for aquatic ecosystems.
Revolutionising Skincare Through Airtificial Intelligence
Authors: Fialho Dayle Salvador
Published: October 2024

Abstract: Background: Over the last 10years there has been a drastic shift in the development of computer-based systems, artificial intelligence, algorithms and technology in the world of dermatology be it cosmetic or even retail production of products sold to customers with high-tech technology and innovative means to build their client base through customer delight. Artificial Intelligence is particularly helpful in recognizing the type of skin customers have and suggesting solutions which help customers pick from the range of options given to them. Most e-commerce platforms have begun using such AI driven soft wear to help customers while they are in the comfort of their homes to choose from a range of cosmetic options right from lipsticks, concealers, foundation, eyeshadows, shades of tins, serums etc. Given that every person has a different skin type, these applications ensure 100 percent personalized suggestions. This new trend is sending shock waves across the retail sector around the world attracting a massive customer base to adapting to AI Derma logy and retail. The intelligent software used by sever companies not only benefits the customer, but also helps companies with their operational efficiency as they can use AI algorithms to predict and forecast the inventory to help reduce over production and excessive stock production minimizing product wastage and improving sustainably.AI is booming in both clinical diagnosis as well as giant companies such as Loreal and Olay who are dedicated to providing customers with advanced tools like skin analyzers or apps based on predefined rules which help AI-powered tools analyze skin conditions, age, and personal skincare history to provide highly personalized product recommendations. In clinical diagnosis AI offers valuable insight to the patient’s skin and condition be it cancer or other skin diseases making judgments to assist the doctors and dermatologist in making informed decisions regarding the line of treatment for the patient in question. This includes screening, diagnosis, treatments and predictions of the treatment outcomes. These new innovative and robust AI systems leaving customers feeling confident and have not begun relying on AI driven treatments and procedures
Studies of Kinetics and Non-Isothermal Decomposition of Synthesized Novel Organic Terpolymer Resin
Authors: Das N. C. , Gurnule W. B.
Published: October 2024

Abstract: The terpolymer resin 2,4-DHP-4-PAF-III was prepared by condensation of 2,4-dihydroxypropiophenone, 4- pyridylamine and formaldehyde in the presence of 2M hydrochloric acid as a catalyst in the temperature range 125 ± 2 0C for 5 hrs in 3:1:5 molar ratios of reactants. Elemental analysis, FT-IR, and 1H-NMR spectral studies have been carried out to confirm the structure of the resin. The thermal degradation behavior of terpolymer was studied using thermogravimetric analysis (TGA) in air atmosphere at a heating rate of 10 0C/min. Sharp-Wentworth and Freeman-Carroll methods were used to calculate thermal activation energy (Ea), entropy change (∆S), free energy change (∆F), apparent entropy change (S*), frequency factor (Z) and order of reaction (n). Thermal activation energy (Ea) calculated by Sharp-Wentworth (28.81 KJ/mole) method and Freeman-Carroll (29.47 KJ/mole) method are in good agreement.
Pengaruh Profitabilitas, Likuiditas dan Ukuran Perusahaan Terhadap Struktur Modal
Authors: Suryaningsih Ni Made , Surasmi Ida Ayu , Yudha Cokorda Krisna
Published: October 2024

Capital structure refers to the decision-making process regarding funding sources and the arrangement of funding options. In the mining sector, companies require substantial capital for resource exploration and corporate development. The study titled “The Impact of Profitability, Liquidity, and Company Size on Capital Structure” aims to investigate how profitability, liquidity, and company size influence the capital structure of mining firms listed on the Indonesia Stock Exchange. Utilizing a quantitative approach with secondary data, the research population comprises mining companies listed from 2020 to 2022. Through purposive sampling, 35 companies were selected for analysis. Multiple linear regression analysis was employed to analyze the data. Findings indicate that profitability negatively affects the capital structure of mining companies, as higher profits prompt firms to utilize retained earnings, thereby reducing the capital structure value. Liquidity also negatively impacts the capital structure, as companies with high liquidity levels tend to utilize assets to meet short- term obligations, consequently reducing the capital structure. Conversely, company size positively influences the capital structure, with larger companies exhibiting larger capital structures due to increased debt, while smaller companies have smaller capital structures.
Predicting individual personality styles using macrostructural information: A multivariate pattern study
Authors: Liu Huijuan , Song Xinshuo , Guo Yinghui
Published: October 2024

Advances in neuroimaging techniques have uncovered the relationships between neuroanatomy and personality traits like neuroticism and extraversion. Nevertheless, few studies have examined the reliable biological markers that identify individuals with different personality styles. Therefore,
we evaluated the diagnostic capability of structural magnetic resonance imaging with a sample of 192 healthy adults by using a machine learning algorithm to divide them into four groups according to brain structural characteristics. Our results showed that personality styles, but not personality
traits, could be discriminated with the extraversion candidate brain system (e. g., the frontal cortex, hippocampus, amygdala) and the neuroticism candidate brain system (e. g., the insula, the right anterior cingulate cortex). These findings indicate that personality styles that consider
person-centered traits may more effectively predict individuals' mental health, providing a potential brain biomarker for early individual psychological risk assessments.
High subjective socioeconomic status positively predicts the willingness to disclose privacy
Authors: Wang Caiying , Wang Xue
Published: October 2024

In the digital era, consumers' information has become a vital marketing asset. Despite the potential risks associated with compromising privacy, some consumers willingly permit companies to collect their data. As consumers with more resources may face more significant consequences if
their privacy is compromised, it is important to understand the privacy disclosure intent of consumers with high socioeconomic status. We conducted two studies, in the United States (n = 284) and China (n = 303). We found that high subjective (but not objective) socioeconomic
status positively predicted participants' tendency to report their personal information in the consumer survey, with this relationship being mediated by higher levels of interpersonal trust. This is the first study to examine the relationship between subjective socioeconomic status and personal
information disclosure. As such, it contributes to expanding existing research domains while also offering valuable insights into marketing strategies aimed at safeguarding consumer privacy.
Supervisor developmental feedback and employees' proactive innovation behavior
Authors: Fang Yangchun , Liu Yonghua , Chen Nuo
Published: October 2024

We applied conservation of resources theory to analyze how and when supervisor developmental feedback affects employees' proactive innovation behavior. Using a three-wave online questionnaire, we collected data from 298 full-time employees in central China. The results of structural
equation modeling indicated that supervisor developmental feedback was positively related to employees' proactive innovation behavior, and emotional exhaustion played a mediating role in this relationship. Additionally, growth need strength moderated the relationship between supervisor developmental
feedback and employees' emotional exhaustion. The findings contribute to research on the relationship between supervisor developmental feedback and employees' proactive innovation behavior, and have practical managerial implications for organizations seeking to boost employee innovation.
Emotional regulation, academic self-efficacy, and academic engagement among art education students: A cross-sectional study
Authors: Zheng Xianjue , Sun Lan , Mei Rong , Song Mei
Published: October 2024

We conducted a study of 362 undergraduate art education students to investigate the influence of emotional regulation skills on academic engagement, and the mediating role of academic self-efficacy in this relationship. The results revealed a significant positive correlation between
emotional regulation skills and academic engagement. Furthermore, academic self-efficacy mediated this relationship. Our research contributes to a better understanding of the interplay of emotional regulation skills, academic engagement, and academic self-efficacy among undergraduate art education
students in the context of higher education in China. The findings offer practical insights for educators to enhance academic engagement among students in art education programs and suggest future directions for research.
Participatory music engagement and social anxiety: Resilience, social self-efficacy, and social support as mediators
Authors: Qing Gele , Li Yibing , Isa Badrul , Li Ying
Published: October 2024

Studies of music-based interventions have found that engagement in participatory music has positive effects. However, taking part in music activities in everyday life may have different effects. In this study we analyzed data collected from 902 university students in Beijing, China,
and examined the mediating effects of social self-efficacy, resilience, and social support in the association of participatory music engagement with social anxiety. We found that participatory music engagement was negatively associated with social anxiety, and that social self-efficacy, resilience,
and social support mediated this association. This study extends understanding of the effects of participatory music engagement among university students. Implications for theory and practice are discussed.
Social support, self-esteem, and employment anxiety among college students majoring in music: A cross-sectional study
Authors: Ya Ru , Yang Junhai , Su Longgaowa
Published: October 2024

Amidst a swiftly evolving economic landscape, the phenomenon of employment anxiety among college students has become a topic of widespread concern. We investigated the impact of social support on employment anxiety among 456 college students majoring in music, and assessed the mediating
role of self-esteem in this relationship. The results showed a significant negative correlation between social support and employment anxiety. Additionally, selfesteem played a mediating role in this relationship. Our research findings contribute to understanding of the interplay of social
support, employment anxiety, and self-esteem in the context of higher education in China. These discoveries also provide practical insights for educators to facilitate the reduction of employment anxiety in college students majoring in music, and suggest directions for future research.