bluuebunny/crossref_metadata_2025 huggingface dataset:
Occupational Stress among Academicians between Two Selected Universities in Malaysia and Indonesia During the COVID-19 Pandemic: A Comparative Study
Authors: Rusli Nur Husna , Anua Siti Marwanis , Endarti Ajeng Tias , Wan Mohd Amin Wan Siti Hajar , Mazlan Nurzafirah , E Ibrahim Tengku Azmina
Published: September 2023

Occupational stress has become a major concern for both employees and employers globally. Stress leads to a loss of interest among workers as well as unproductive and valueless outputs if not managed well. The education sector is one work setting dominated by stress. This comparative cross-sectional study aimed to determine the levels of depression, anxiety, and stress among academicians as well as their work-related stressors and coping strategies between a selected public university in Malaysia and a private university in Indonesia. A total of 82 academicians from universities in Malaysia and 52 from Indonesia were recruited using convenience sampling. Data was collected using a validated self-reported questionnaire via Google Forms. The prevalence of depression, anxiety, and stress among Malaysian academicians was 19.5%, 29.5%, and 12.2%, respectively. In contrast, the prevalence of depression, anxiety, and stress among Indonesian academicians was 15.7%, 33.3%, and 9.8%. Career development, research, teaching, and interpersonal relationships significantly contributed to stress at both universities (p-value<0.05). Participants from both universities reported using active coping, planning, venting, self-distraction, positive reframing, acceptance, and religion as coping strategies. In conclusion, determining depression, anxiety, and stress prevalence; major work-related stressors; and coping strategies are essential to maintaining the safety, health, and well-being of academicians, which eventually can encourage university administrators to provide support in enhancing their quality of life.
Reshaping Healthcare: A Bibliometric Analysis of Lessons Learned in Post-COVID-19 Health Policy
Authors: Azizan Azliyana , Abdullah Khairul Hafezad , Rahayu Sri Ratna , Rusli Nadia Safirah , Tarmidzi Nornajehah
Published: September 2023

The COVID-19 pandemic has profoundly impacted health policy globally, leading to heightened concern and urgency. However, previous studies have been hampered by limited resources and insufficient discussions on the long-term implications for health policies following multiple COVID-19 waves. Thus, this study examined the evolution of international studies on post-COVID-19 health policy. A comprehensive analysis used well-known literature databases Scopus and Web of Science to explore parameters including publication growth, participating countries, areas of interest, and keyword analysis of topics such as"COVID-19" and "Health Policy." The United States emerged as an active participant, focusing on "Computer science." Key themes included "COVID-19 Pandemic," "Public health policy," and "Epidemiology," highlighting current trends. It emphasized the significance of global cooperation and knowledge exchange in addressing the complex challenges posed by the pandemic and shaping resilient health policies for the future. The contribution of this study lies in providing a comprehensive overview of post-COVID-19 health policy research and its implications for the health field.
Workers’ Characteristics of Hearing Loss at Soekarno-Hatta International Airport, Indonesia
Authors: Timanta Andrew Ebeneizer , Haryanto Budi , Wulandari Ririn Arminsih
Published: September 2023

This study aimed to analyze the characteristics and factors of worker behavior, including age, the use of ear protection, work duration, a record of diabetes mellitus or hypertension, work rotation, and noise hazards involved in hearing loss in PT. X at Soekarno-Hatta International Airport, Indonesia. A cross-sectional study from May 2017 to June 2017 involved 73 workers in the power service area (TZ Unit) exposed to noise levels <85 dBA and ≥85 dBA, using an audiometry test for hearing loss and Sound Level Meter for noise hazards was conducted. The Chi-square test showed a significant correlation between age (OR 8.4, 95% Cl = 1.6-44.1), work duration (OR 7.6, 95% Cl = 0.9-67.2), and the use of ear protection (OR 7.8, 95% Cl = 1.4-44.2) with hearing loss in workers in the power service area. The multivariate analysis revealed that workers exposed to a noise level of 85 dBA had a 1.7 times greater risk of hearing loss than workers exposed to a noise level of <85 dBA after controlling for age, work duration, use of ear protection, medical history, and work rotation.
DOSSIE GEOECOLOGIA E ABORDAGEM GEOSSISTÊMICA NA GEOGRAFIA CONTEMPORÂNEA
Authors: Pires Koga Ana
Published: September 2023

Prefacio do Dossiê GAGGC – Geoecologia e Abordagem Geossistêmica na Geografia Contemporânea: métodos, técnicas e aplicações.
ECOLOGIA DE PAISAGEM NOS ESTUDOS DE FRAGMENTOS FLORESTAIS
Authors: Stevanato Mayra , Colavite Ana Paula , Parolin Mauro
Published: September 2023

Considerando os impactos da ação antrópica sobre o ambiente, a necessidade de panejamento ambiental é eminente. O Brasil é historicamente marcado por uma economia exploratória de recursos naturais, responsáveis pelo desmatamento e fragmentação de nossas florestas. Atualmente, com o mapeamento da vegetação e reconhecimento da abrangência das florestas, é possível entender melhor a dinâmica, evolução, as características de uma área e assim propor estratégias que possam auxiliar em sua preservação de forma mais efetiva, ou mesmo, propor legislações que consigam abranger essa vegetação de forma ampla. Este trabalho tem por objetivo apresentar através de levantamento bibliográfico, a Ecologia de Paisagem como uma alternativa de estudo da fragmentação florestal, incluindo sua trajetória histórica de construção e métricas utilizadas na análise das paisagens.
CLASSIFICAÇÃO ECODINÂMICA DE TRICART APLICADA AO SETOR SUDESTE DO ESTADO DO PIAUÍ
Authors: Sério de Morais Antonia Nayara , Paes de Oliveira-Costa Jorge Luis , Araújo da Silva Viana Bartira , Novais Pires Koga Ana Paula , Alves Lopes da Silva Waldirene
Published: September 2023

O recorte espacial desta pesquisa, o Assentamento Lisboa, localizado na porção sudeste do Estado do Piauí (Macrorregião Sudeste Piauiense, Microrregião do Município de São João do Piauí), é caracterizado pela diversificação paisagística local, dos elementos físico-naturais e dos usos da terra, que se encontram estruturalmente determinados tanto pelas condições climáticas locais, como pelas condições vegetacionais, dois elementos cruciais para entendimento da dinâmica da paisagem no assentamento. A área de estudo faz parte do Território de Desenvolvimento da Serra da Capivara, classificação que contempla grande parte do território do sudeste piauiense, destacando, entre outros aspectos, suas potencialidades e fragilidades paisagísticas. A escolha das temáticas envolvidas neste trabalho e a área de estudo se dá em razão da preocupação com os aspectos da fragilidade natural (clima e atributos físicos), ocupação humana (práticas agrícolas), e os TUTs (tipos de uso da terra), bem como pela escassez de dados disponíveis. Este estudo tem como objetivo desenvolver uma análise geográfica do ambiente da área ocupada pelo Assentamento Lisboa, traçando suas relações com a intervenção antrópica, considerando principalmente, para isso, a dinâmica das paisagens e a vulnerabilidade da área como um todo, bem como suas práticas produtivas. O estudo teve como procedimentos metodológicos a pesquisa bibliográfica, a pesquisa de campo e a pesquisa de gabinete. Para o seu desenvolvimento, utilizou-se o método sistêmico e empírico, com analise integrada da paisagem por meio de concepções teórico-conceituais, além do auxílio de trabalhos de campo. O modelo aplicado foi adaptado de Oliveira-Costa (2021) e Oliveira-Costa & Massoquim (2022), com confecção e análise de dados sobre a fragilidade natural e os TUTs da área de estudo, para fins de planejamento ambiental. Os resultados deste trabalho indicam significativas fragilidades na área, dado os condicionalismos da zona de influência do assentamento, com alerta para a restrição dos usos da prática da mecanização agrícola.
PENSAMENTO SISTÊMICO E SUA APLICABILIDADE NO ESTUDO SOBRE AS MUDANÇAS NAS PROPOSTAS DE EDUCAÇÃO AMBIENTAL E A FORMAÇÃO DO PROFESSOR DE GEOGRAFIA
Authors: Silva da Costa Brito Carlos , Sá de Souza Brito Miguel
Published: September 2023

O debate referente à questão da Educação Ambiental (EA), esta se faz relevante por não se tratar de um tema novo, haja vista que passou a ser discutido, de forma não direta, a partir das Conferências Mundiais sobre Preservação do Meio Ambiente, a exemplo a Primeira Conferência das Nações Unidas sobre Meio Ambiente Humano (Conferência de Estocolmo) realizada em Estocolmo, Suécia, no ano de 1972. Porém, o cenário mundial cada vez mais discordante da relevância deste debate, motivou a produção desta pesquisa. Na ciência, observa-se um fortalecimento do pensamento sistêmico que passa a reconhecer sistemas mais complexos e não-lineares, oriundos de Teorias como a autopoiese, fractais, estruturas dissipativas e Teoria do Caos que passam a embasar o chamado paradigma da Complexidade. A partir deste cenário, o presente trabalho busca adentrar, de forma breve, o debate sobre a Teoria dos Sistemas e sua aplicabilidade teórico/metodológica no estudo sobre as mudanças nas propostas de Educação Ambiental e a Formação do Professor de Geografia.
ASPECTOS DA PAISAGEM BERTRANDIANA
Authors: Frediani Sant'Ana Lucas Cesar
Published: September 2023

A questão ambiental, tal qual a busca por modelos sustentáveis de desenvolvimento, evocou da geografia uma reflexão sobre o seu papel enquanto ciência do espaço geográfico, na construção de uma sociedade mais justa que viva em um ambiente saudável. Esta perspectiva traz a demanda de estudos geográficos mais sistêmicos e holísticos, capazes de trazer uma aproximação mais cristalina à realidade que a questão ambiental exige. Para isso, não cabe mais à geografia métodos ultrapassados que se limitam à observação e análise de elementos dispersos do espaço geográfico. Assim, é preciso um modelo que, ao mesmo tempo em que agregue toda a complexidade do território, tenha a capacidade de interpretá-lo em suas relações e seja objeto de apoio àqueles que estão diretamente ligados à gestão do território. Diante desta demanda metodológica, surge na geografia francesa a perspectiva da paisagem a partir do olhar geográfico de Georges Bertrand. A leitura da paisagem a partir de Bertrand possibilita uma Geografia Física mais dinâmica e precisa, influenciando não apenas a geografia francesa, mas também a brasileira. A visualização das relações entre os elementos que compõem a paisagem nos leva a compreender a dinâmica da área estudada e como ela dialoga com o seu entorno. Sendo assim, o uso do modelo GTP serve não apenas para a delimitação e representação cartográfica das dinâmicas, mas principalmente para a detecção dos problemas existentes e o grau de responsabilidade da ação antrópica sobre eles.
Optimal reconstruction methods after distal gastrectomy for gastric cancer: A protocol for a systematic review and network meta-analysis update
Authors: Zhao Zhou , Li Hancong , Pan Xiangcheng , Shen Chaoyong , Mu Mingchun , Yin Xiaonan , Cai Zhaolun , Liao Jing , Zhang Bo
Published: September 2023

BACKGROUND: Distal gastrectomy (DG) is a commonly used surgical procedure for gastric cancer (GC), with three reconstruction methods available: Billroth I, Billroth II, and Roux-en-Y. In 2018, our team published a systematic review to provide guidance for clinical practice on the optimal reconstruction method after DG for GC. However, since then, new evidence from several randomized controlled trials (RCTs) has emerged, prompting us to conduct an updated systematic review and network meta-analysis to provide the latest comparative estimates of the efficacy and safety of the three reconstruction methods after DG for GC.
METHOD: This systematic review and network meta-analysis update followed the PRISMA-P guidelines and will include a search of PubMed, Embase, and the Cochrane Library for RCTs comparing the outcomes of Billroth I, Billroth II, or Roux-en-Y reconstruction after DG for patients with GC. Two independent reviewers will screen the titles and abstracts based on predefined eligibility criteria, and two reviewers will assess the full texts of relevant studies. The Bayesian network meta-analysis will evaluate various outcomes, including quality of life after surgery, anastomotic leakage within 30 days after surgery, operation time, intraoperative blood loss, major postoperative complications within 30 days after surgery, incidence and severity of bile reflux, and loss of body weight from baseline.
ETHICS AND DISSEMINATION: The review does not require ethical approval. The findings of the review will be disseminated through publication in an academic journal, presentations at conferences, and various media outlets.
INPLASY registration number: INPLASY2021100060.
Psychometric adequacy of the Persian adapted version of the Tilburg Frailty Indicator (P- TFI)
Authors: Safarnavadeh Maryam , Salehi Leili
Published: September 2023

Background:
Frailty has been identified as the primary goal of the preventing the various s aging consequences in many studies. Considering frailty help us to plan and train properly. valid and reliable tools are needed. The current study aimed to assess validity and reliability of the Persian adapted version of the Tilburg frailty indicator in Iran.
Method:
The current study is cross sectional study included three phases: at first phase, the indicator translated to Persian, at the next step, face and content validity was assessed. During the third phase, the P-TFI was sent out for completion to elderlies, who helped assess reliability and construct validity. For construct validity, convergent and divergent validity were used. It was expected that the TFI domain scores would show the highest correlations with their related measures of frailty (convergent construct validity) and the lowest correlations with measures of the other domains (divergent construct validity). Overall, 400 elderlies entered the study as the study population from six health care centers.
Results
The mean age of the participants was 69.05±7.28 (ranged from 60 to 93) years old. The majority of the participants were female (56.8). More than half of the participants had spouse. The majority had less than twelve years of education (81.5%), and most participants had a modest level of income. an overall of 168 (42%) older people lived with their spouse and child. The mean total score of TFI was 8.26±1.80, and 171 participants (42.75%) were classified frail in terms of the original cut-point of the scale (i.e., the total score ≥5): with the, and considering 6 as the threshold limit for TFI (i.e., The total score ≥6), 89 participants (22.25) were classified as frail. The scores for KR-21 range from 0 to 1, where 0 is no reliability and 1 is perfect reliability. The test-retest reliability for the 14-day interval was 0.88 for the total scale, 0.80 for physical domain, 0.65 for psychological domain and 0.81 for social domain. Mean score of frailty and its dimensions varied from 4.35±1.78, 1.81±1.33,1.69±0.73.0.86±061 for total frailty, physical, psychological and social respectively. The total score of the TFI significantly correlated with each alternate measure as expected. The convergent validity of the TFI was proved by the Cohen’s kappa coefficient between each item of the TFI and corresponding alternate tools. All of the kappa values ranging from.535 to 0.967 were statistically significant.
Phenomenon of multiple reentrant localization in a double-stranded helix with transverse electric field
Authors: Mondal Kallol , Sarkar Suparna , Ganguly Sudin , Maiti Santanu
Published: September 2023

The present work explores the potential for observing multiple reentrant localization behavior in a double-stranded helical (DSH) system, extending beyond the conventional nearest-neighbor hopping interaction. The DSH system is considered to have hopping dimerization in each strand while also being subjected to a transverse electric field. The inclusion of an electric field serves the dual purpose of inducing quasiperiodic disorder and strand-wise staggered site energies. Two reentrant localization regions are identified: one exhibiting true extended behavior in the thermodynamic limit, while the second region shows quasi-extended characteristics with partial spreading within the helix. The DSH system exhibits three distinct single-particle mobility edges linked to localization transitions present in the system. The analysis in this study involves examining various parameters such as the single-particle energy spectrum, inverse participation ratio, local probability amplitude, and more. Our proposal, combining achievable hopping dimerization and induced correlated disorder, presents a unique opportunity to study the phenomenon of reentrant localization, generating significant research interest.
Management of Hyperleukocytosis and Results of Leukapheresis in Childhood Acute Leukemia: A Single Center Experience
Authors: TERZİ ÖZLEM , Ayçiçek Ali , Uysalol Ezgi Paslı , Hançerli Özgü , Solgun Hüseyin Avni , Ertürk Saide , Şimşek Halil İbrahim , Göktürk Osman , Ekinci Mehmet Selim , Bayram Cengiz
Published: September 2023

Background
Hyperleukocytosis in pediatric acute leukemia is associated with increased morbidity and mortality.
Objectives
The aim was to review the clinical characteristics and outcomes of patients with newly diagnosed leukemia with hyperleukocytosis (HL).
Methods
A retrospective case control study reviewed data from a single institution over a 5-year period. Hyperleukocytosis was present in 41 patients with acute leukemia and were included in the study. Treatment strategies included hyperhydration, administration of allopurinol or rasbirucase, early induction of induction chemotherapy (CT), and leukapheresis (LP).
Results
Twenty seven (65.9%) of the 41 patients were male and the median age was 7 (range 1–17) years. Rasburicase was only used in 6 acute lymphocytic leukemia (ALL) patients with hyperuricemia. LP was used in 9 of 41 (13%) patients with hyperleukocytosis and a total of 25 LP procedures were performed. The mean leukocyte value after apheresis was 65,529/mm3. In patients with and without LP, tumor lysis syndrome was seen in 2 (23%) and 2 (6.25%) patients, respectively. Pulmonary leukostasis was seen in 2 patients, one of whom underwent LP. The mean leukocyte count in patients who received LP versus those who did not was 520,000 cells/mm3 and 158,800 cells/mm3, respectively. The time from presentation to the initiation of CT was the same between those who received LP and those who did not (mean of 35 h vs. 34 h). During the first 14 days after presentation, cerebral leukostasis/coagulopathy or pulmonary leukostasis-related early death did not occur in patients with leukemia.
Conclusions
The use of LP in patients with hyperleukocytosis is safe and effective, well tolerated and does not alter time to CT induction at our institution.
WITHDRAWN: The Quasi-Xgamma Frailty Model with Survival Analysis UnderHeterogeneity Problem, Validation Testing, and Risk Analysis for Emergency Care Data
Authors: Loubna Hamami , Goual Hafida , Mutairi Aned Al , Nassr Said G. , Alsuhabi Hassan , Ali M. Masoom , Ibrahim Mohamed , Yousof Haitham M.
Published: September 2023

We introduce a new class of continuous distributions called the generalized transmuted-G family which extends the quadratic rank transmutation map pioneered by Shaw and Buckley (2007). We provide some special models for the new family. Some of its mathematical properties including explicit expressions for the ordinary and incomplete moments, generating function, Rényi and Shannon entropies, order statistics and probability weighted moments are derived. The estimation of the model parameters is performed by maximum likelihood. The flexibility of the proposed family is illustrated by means of two applications to real data sets.
3DCAE-MRI: Overcoming Data Availability in Small Sample Size MRI Studies
Authors: Dias Maria de Fátima Machado , Cerqueira Tiago F. T. , Duarte João Valente , Castelo-Branco Miguel , Carvalho Paulo
Published: September 2023

Deep learning (DL) are data-driven models that learn abstract, hierarchical features from raw or low-processed data. These models perform exceptionally in image recognition tasks using large amounts of data. Thus, the availability of open-source large-scale annotated datasets is crucial to achieve high-performance models. Nevertheless, the usage of DL models in neuroimaging is restricted due to data availability. Transfer learning has been used to overcome the issue, nonetheless most studies focus on transferring knowledge from or to an Alzheimer's Disease context. In this paper, we propose the 3D Convolutional Autoencoder Magnetic Resonance Imaging (3DCAE-MRI), an unsupervised model, to facilitate the usage of supervised DL models in small sample size Magnetic Resonance Imaging (MRI) studies. We exploit different open-source MRI databases to train the 3DCAE-MRI, which is applied to two different benchmark problems: age prediction and sex classification. On age prediction, off-the-shelf learning from the 3DCAE-MRI attained remarkable performance on an external dataset using only 300 training samples, which are on par with state-of-the-art results that use thousands of images. On both age prediction and sex classification, off-the-shelf learning using 3DCAE-MRI weights leads to better performance, higher generalisation and stabler models than either fine-tuning or training the network from scratch.
Shannon’s Lens: The Catalyst for Cognitive Evolution of Edge Based Smart Machines
Authors: Rubbani Syeda
Published: September 2023

Edge AI protocols facilitate communication in smart machines between edge devices and central processing units. This research aims to enable autonomy in edge-based smart machines through a cognitive neuroevolutionary AI framework, applied to MQTT, CoAP, AMQP, and HTTP protocols to achieve Shannon's capacity. Shannon's capacity defines a channel's maximum data transmission capability. However, the specific Shannon's capacity for edge AI protocols and the impact of customizing them with neuroevolutionary methods remain unknown. Here we illustrate a tailored neuroevolutionary AI framework that acts as an intelligent optimizer for edge AI protocols, validated by achieving Shannon's capacity. The research establishes Shannon's limits for these protocols using the framework, reaching up to 20 bps channel capacity. Findings encompass bandwidth and power efficiency, protocol efficiency ratios, interpretation, performance evaluation, and future research avenues. We anticipate that the first findings of Shannon’s capacity and the novel neuroevolutionary AI framework for exemplary edge AI protocols provide insights into the cognitive potential of edge AI protocols and their role in seamless connectivity for advanced edge AI solutions.
Uniaxial quasi-static compression performance of PMI foam at different temperatures and constitutive model establishment
Authors: chen guotao , Lv Yansong , Mei zhiyuan , Li huadong , Bai xuefei
Published: September 2023

The uniaxial compression failure mode of polymethacrylimide (PMI) foam under the combined action of heat and load was investigated from the macro and micro perspectives. Moreover, the heat resistance of the material was analyzed by dynamic mechanical analysis and dimensional stability tests. The stress-strain curve of the PMI foam in the range of 20℃–200℃ at different stages of compression failure mechanism was revealed, and the Liu-Subhash model was used to accurately predict the stress-strain constitutive relationship of PMI at different temperatures. The results showed that, in the range of 20℃–180℃, the material is an elastoplastic material, and the stress-strain curve exhibits a typical 'three-stage' pattern. When the temperature is 200℃, the material is transformed completely into a hyperelastic incompressible material, and the stress-strain curve exhibits a 'two-stage' pattern. In addition, the temperature effect on the yield strength and elastic modulus of the material and the strain rate effect at different temperatures were also discussed. Finally, based on the Liu-Subhash model, a PMI quasi-static compression constitutive model considering the temperature effect was established. This conclusion provides theoretical support and data input for the study of the thermo-mechanical combined bearing mechanism of composite sandwich structures.
Detection and Diagnosis of Learning Disabilities in Children of Saudi Arabia with Artificial Intelligence
Authors: Alshehri Mohammed , Sharma Sunil , Gupta Priya , Shah Sapna Ratan
Published: September 2023

Learning Disability (LD) is an umbrella term for various learning difficulties. It is a neurological disorder that affects the brain of children and hinders their capacity to do one or more specified activities. Youngsters with learning disabilities are neither sluggish nor mentally retarded. This paper utilizes Speech, as an acceptable motor activity to address the problem and its solution. In this work, Mel-Frequency Cepstral Coefficients (MFCC) and Linear Predictive Cepstral Coefficients (LPCC) are used to extract speech characteristics. For every speech sample, 205 characteristics are retrieved, consisting of 13 acoustical features from MFCC, 128 features from LPCC, and 64 features from power spectrum density. In addition, linear predictive coding-based parameterization is used to every speech sample to extract Weighted Linear Predictive Cepstral Coefficients (WLPCC) and Linear Predictive Coding features (LPC). The Extracted Features are identified using a Deep Convolutional Neural Network (DCNN), and their performance is analyzed. It is found that the correlation between speech characteristics and various classification models may be assessed to get the highest classification accuracy. These findings demonstrate that the suggested feature extraction approaches and classification models are highly successful in categorizing the speech of intellectually impaired and typically developing youngsters.
Cross-sensitivity Analysis of Land Use Transition and Ecological Service Values in Rare Earth Mining Areas in Southern China
Authors: Zhu Chenhui , Chen Yonglin , Wan Zhiwei , Chen Zebin , Lin Jianping , Chen Peiru , Sun Weiwei , Hao Yuan , Zhang Yunping
Published: September 2023

Rare earth resources are important national strategic resources, and the mining process will change the original land use types, and it will have a certain impact on the ecosystem service values around the rare earth mining areas. To study the impact of land use changes on ecosystem service functions in rare earth mining areas, firstly, the land use change trends in the study area from 2009 to 2019 were analyzed using the land transfer matrix; then the distribution of ecosystem service values and the flow direction of ecosystem service values in the study area were measured based on the ecosystem service value equivalents; a spatial autocorrelation analysis was done on the ecosystem service values to explore their spatial distribution patterns; and finally, the cross-sensitivity coefficient was used to quantitatively assess the impact of land use changes on ecosystem service, the cross-sensitivity coefficient was used to quantitatively assess the extent and direction of the impact of land use change on ecosystem service values. The results show that the land use types in the study area are mainly forest land and farmland, with woodland accounting for the highest proportion of the study area. The ESV changes in the study area are consistent with the trend of land use transformation, with the overall increase and decrease being comparable, and the decrease in ESV is mainly concentrated in the areas with a large increase in mining land and construction land; during the study period, the study area was significantly reduced with low - low aggregation areas and the ecological environment was improved; from 2009 to 2011, the ecological sensitivity coefficient is more variable, and is more sensitive to the net conversion between water and desert, from 2014 to 2019, the ecological sensitivity coefficient is less variable, and the most sensitive is the net conversion between cultivated land and water. The study area should be reasonably developed for rare earth resources and the ecological environment around the mining area should be reasonably protected to build an ecological security pattern.
3DinforCPI: Enhancing Efficiency of Compound-Protein Interaction Prediction Through Novel Perspectives on Multi-level Information Integration
Authors: Nguyen Ngoc-Quang , Park Sejeong , Gim Mogan , Kang Jaewoo
Published: September 2023

Forecasting the interaction between compounds and proteins is crucial for discovering new drugs. However, several commonly used computational techniques assume that the molecules or proteins in the test set have already been observed during the training phase. This assumption might not remain valid in real-life scenarios, where the test and training data could exhibit varying distributions and stem from distinct domains. Moreover, previous studies have not utilized three-dimensional (3D) information on compounds and proteins to predict binding affinity. Here, we propose a two-step deep learning strategy named 3DinforCPI that incorporates transfer learning techniques with multi-level resolution features to overcome these limitations. Our approach leverages 3D information from both proteins and compounds and acquires a profound understanding of the atomic-level features of proteins. We applied our approach to six datasets: Davis, Metz, KIBA, CASF-2016, DUD-E, and BindingDB, to evaluate the effectiveness of our approach.
Modulating Hierarchical Self-Assembly In Thermoresponsive Intrinsically Disordered Proteins Through High-Temperature Incubation Time
Authors: Sethi Vaishali , Gerassi Dana Cohen , Meir Sagi , Ney Max , Shmidov Yulia , Koren Gil , Abramovich Lihi Adler , Chilkoti Ashutosh , Beck Roy
Published: September 2023

The cornerstone of structural biology is the unique relationship between protein sequence and the 3D structure at equilibrium. Although intrinsically disordered proteins (IDPs) do not fold into a specific 3D structure, breaking this paradigm, some IDPs exhibit large-scale organization, such as liquid-liquid phase separation. In such cases, the structural plasticity has the potential to form numerous self-assembled structures out of thermal equilibrium. Here, we report that high-temperature incubation time is a defining parameter for micro and nanoscale self-assembly of resilin-like IDPs. Interestingly, high-resolution scanning electron microscopy micrographs reveal that an extended incubation time leads to the formation of micron-size rods and ellipsoids that depend on the amino acid sequence. More surprisingly, a prolonged incubation time also induces amino acid composition-dependent formation of short-range nanoscale order, such as periodic lamellar nanostructures. We can correlate the lamellar structures to β-sheet formation and demonstrate similarities between the observed nanoscopic structural arrangement and spider silk. We, therefore, suggest that regulating the period of high-temperature incubation, in the one-phase regime, can serve as a unique method of controlling the hierarchical self-assembly mechanism of structurally disordered proteins.
Robust and eXplainable artificial intelligence
Authors: Giudici Paolo , Raffinetti Emanuela , Riani Marco
Published: September 2023

Artificial Intelligence relies on the application of machine learning models which, while reaching high predictive accuracy, lack explainability and robustness. This is a problem in regulated industries, as authorities aimed at monitoring the risks arising from the application of AI methods may not validate them.
No measurement methodologies are yet available to jointly assess accuracy, explainability and robustness of machine learning models.
We propose a methodology which fills the gap, extending the forward search approach, employed in robust statistical learning, to machine learning models. Doing so, we will be able to evaluate, by means of interpretable statistical tests, whether a specific AI application is accurate, explainable and robust, by means of a unifying methodology.
We apply our proposal to the context of bitcoin price prediction, comparing a linear regression model against a non linear neural network model.
Using Recurrent Neural Networks to Reconstruct Temperatures from Simulated Fluorescent Data for use in Bio-Microfluidics
Authors: Kullberg Jacob , Sanchez Derek , Mitchell Brendan , Munro Troy , Egbert Parris
Published: September 2023

Many biological systems have a narrow temperature range of operation, meaning high accuracy and spatial distribution level are needed to study these systems. Most temperature sensors cannot meet both the accuracy and spatial distribution required in the microfluidic systems that are often used to study these systems in isolation. This paper introduces a neural network called the Multi-Directional Fluorescent Temperature Long Short-Term Memory Network (MFTLSTM) that can accurately calculate the temperature at every pixel in a fluorescent image to improve upon the standard fitting practice and other machine learning methods use to relate fluorescent data to temperature. This network takes advantage of the nature of heat diffusion in the image to achieve an accuracy of ±0.0199 K RMSE within the temperature range of 298K to 308 K with simulated data. When applied to experimental data from a 3D printed microfluidic device with a temperature range of 290 K to 380 K, it achieved an accuracy of ±0.0684 K RMSE. These results have the potential to allow high temperature resolution in biological systems than is available in many microfluidic devices.
Non-degeneracy and uniqueness of periodic solutions for a Liénard equation with a linear difference operator
Authors: Cheng Zhibo , Li Yafei
Published: September 2023

In this paper, we investigate the non-degeneracyof a Lienard equation with a linear difference operator bymeans of the generalized Wirtinger inequality. In addition, by thenon-degenerate results and an extension of Mawhin's continuationtheorem, the existence and uniqueness of periodic solutions for a Li\'{e}nard equation with a linear differenceoperator are proved.
MSC2000—34C25; 47B39
Brain Tumors Classification using Deep Models and Transfer Learning
Authors: Mavaddati Samira
Published: September 2023

Brain tumor classification using magnetic resonance imaging (MRI) along with medical knowledge results in a better decision to treat a patient. Also, the classification of some types of tumors is often a challenging problem due to the need for a detailed analysis of tumor texture. Therefore, machine learning approaches and specialists' experience can be very beneficial. This paper aims to explore the potential of deep learning structures in classifying different types of brain tumors. Our approach involves using a 50-layer ResNet deep network, which has shown promising results in various image classification tasks. For more consideration, transfer learning technique also is employed to evaluate the performance of the proposed algorithm. The presented algorithms are compared with the other deep networks such as convolutional neural network (CNN), recurrent neural network (RNN), and dictionary learning-based classifier. The studies show that the ResNet-50-based deep model performs better than the mentioned classifier categories in different evaluation criteria such as accuracy, sensitivity, and robustness and has an effective role in medical diagnosis.
Preventing Burnout in Psychiatric Nurses: A Study on the Efficacy of Mindfulness-Based Stress Reduction (MBSR) Techniques
Authors: Poluboiartsev Igor O.
Published: September 2023

Objective
This study aims to ascertain the validity and effectiveness of the Mindfulness-Based Stress Reduction (MBSR) technique in reducing stress and preventing emotional burnout among psychiatric nurses, with the goal of introducing it as a resource-efficient intervention in psychiatric medical institutions.
Materials and methods
From November 1, 2022, to February 28, 2023, we selected 50 participants, comprising 34 women and 16 men, from three medical institutions in the Republic of Kazakhstan. These participants were randomly assigned to either the experimental or control group, each consisting of 25 respondents. The experimental group received the MBSR technique as a psychological intervention. We assessed both groups using the Depression Symptom Scale-90 (SCL-90), the Depression Self-Report Scale (SDS), and the Nurses' Stress Rating Scale (NSS) before and after the intervention. These scales are standard tools for self-diagnosis of mental health and stress levels.
Results
(1) Following the application of the MBSR technique, the respondents in the experimental group experienced a significant decrease in SCL-90 scores, demonstrating a statistically significant difference from their scores before the intervention (p < 0.001). No statistically significant difference was observed in this indicator within the control group (p > 0.05). (2) Post-intervention, SDS scores significantly decreased in the experimental group, with a notable statistical difference from the pre-intervention scores (p < 0.001). Conversely, no statistically significant difference was found in the control group (p > 0.05). (3) After the intervention, the Nurse Stress Rating Scale (NSS) score significantly decreased within the experimental group, with a statistically significant difference from the pre-intervention score (p < 0.001).
Conclusions
The utilization of the MBSR technique effectively reduces stress, alleviates anxiety and depressive moods, and mitigates negative emotions among psychiatric nurses, thus serving as a preventive measure against emotional burnout.
The possibilities of using oseltamivir in children in modern conditions: clinical practice
Authors: Khavkina D. A. , Chukhliaev P. V. , Ruzhentsova T. A. , Garbuzov A. A. , Titova N. N. , Korduban E. A.
Published: September 2023

According to statistics, the acute respiratory diseases incidence in the paediatric population is much higher than in the adult population, due to immature immune system, beginning of active contacts in organized groups, and often the lack of habits and skills in sanitary hygiene. Given the anatomical and physiological features, children often have more pronounced symptoms, which causes not only a faster visit to a doctor, but also more reports of polypharmacy in paediatric practice. The article presents a detailed differential diagnosis of acute respiratory viral infections, including influenza and COVID-19, according to the leading clinical symptoms and syndromes. The possibilities and features of the action of the main drugs used for the treatment of influenza and ARVI in children’s practice – oseltamivir, umifenovir and interferon alpha-2b are described. Using clinical examples, the tactics of choosing a treatment regimen in the routine work of a pediatrician, taking into account the impact of the ongoing COVID-19 pandemic in modern conditions, are considered. The advantages of using oseltamivir for influenza in children are shown. The first clinical case report: a 6-year-old child diagnosed with an acute upper respiratory infection: acute nasopharyngitis, clinical and epidemiological diagnosis – moderate to severe influenza. Severe fever and leukopenia syndrome on the third day of illness pointed to the possibility of disease progression and the development of complications, which justified selection of oseltamivir as the most effective and well-established anti-influenza drug. The second clinical case report: a 3-yearold child diagnosed with acute upper respiratory infection: acute nasopharyngitis, clinical and epidemiological diagnosis – influenza. High-grade fever, severe neutrophilia in the absence of elevated levels of leukocytes, a high level of C-reactive protein in the absence of signs of bacterial infection, determined the choice of oseltamivir. The practical administration of oseltamivir demonstrates reduction in the risk of developing severe influenza, reversing the intoxication syndrome and other manifestations of influenza, as well as prevention of the development of complications, if used in a timely manner.
CHEMICAL CONSTITUENTS AND ANTIBACTERIAL ACTIVITY OF THREE TYPES OF AMAZONIAN Melipona spp. GEOPROPOLIS
Authors: dos Santos Darlan , David Jorge , Neto Oscar , Lima Brenda , Yatsuda Regiane , Moreira Bruno , Marques Lucas , Frazão Richardson
Published: September 2023

This work describes the first chemical study on the metabolic profile of three geopropolis samples from Melipona fulva, M. compressipes, and M. paraensis collected in the Amazonian region. The samples were submitted to solvent extractions. The silylated hexane extracts were submitted to GC-MS analysis and tentatively identified mainly the presence of triterpenes, steroids, fatty acids, and alcohols. The chemical profile of M. fulva of and M. compressipes geopropolis are similar. However, cholesterol, triacontanol, and palmitic acid are the main compounds in M. fulva; in M. compressipes, palmitic acid, linoleic acid, and oleic acid are predominant. The chemical profile of the M. paraensis sample is entirely different once more than 60% of the extract comprises lupenone and triacontanol. The CHCl3 soluble fraction of the MeOH extract of the M. paraensis geopropolis was submitted to chromatographic techniques, and it afforded cycloartenol, 24-methylene-cycloartenol, lupeol, α- and β-amirins, and 7-O-methylaromadendrin. The MeOH extract of this sample presents antimicrobial activities against strains of Streptococcus mutans, S. sobrinus, and S. aureus (MIC of 15.6-62.5 µg mL-1 and MBC of 62.5-1000 µg mL-1). The M. fulva and M. compressipes geopropolis were not active in this test.
Novel Phenylpropanoid Derivative from Euploca procumbens (Mill.) Diane & Hilger with Potential Anti-Inflammatory Activity
Authors: dos Santos George , Lins Francisca , do Nascimento Yuri , de Souza Thalisson , Opretzka Luiza , Villarreal Cristiane , de Albuquerque Ana , Abreu Lucas , dos Santos Junior Fernando , de Melo José , Fechine Ivana , Braz-Filho Raimundo , Tavares Josean , da Silva Marcelo
Published: September 2023

A new phenylpropanoid derivative, named euploic acid (1), was isolated from Euploca procumbens (Mill.) Diane & Hilger, Boraginaceae, along with lithospermic acid B (2), lithospermic acid (3), 9’’-methyl lithospermate (4), and luteolin-7-O-glucoside (5). Compound structures were determined by mass spectrometry (MS), nuclear magnetic resonance (NMR) analysis and comparison with published data. Absolute configuration of 1 was established via electronic circular dichroism (ECD). Anti-inflammatory potential of euploic acid (1) was assessed by measuring its inhibition of cytokine and nitric oxide production in stimulated J774 macrophages. Compound 1 significantly reduced pro-inflammatory mediator production and release by stimulated macrophages at non-cytotoxic concentrations, comparable to the efficacy of dexamethasone. Our findings demonstrate the potential of euploic acid (1) as an effective anti-inflammatory agent. This study contributes to the structural elucidation of a new phenylpropanoid derivative and highlights its promising anti-inflammatory activity in the treatment of inflammatory disorders.
REZYLIENCJA MATEK DZIECI Z ZABURZENIAMI ZE SPEKTRUM AUTYZMU
Authors: Buchholz Aleksandra , Czerwińska Kornelia , Wolan-Nowakowska Mariola
Published: September 2023

Współczesna interwencja psychopedagogiczna opiera się na zasobach podmiotów jej oddziaływania. Koncentracja na mocnych stronach wspiera poczucie kompetencji i buduje niezależność życiową, sprzyjając samodzielnemu radzeniu sobie z przeciwnościami losu. Przykładem takich zasobów jest rezyliencja, rozumiana jako osobowy kapitał warunkujący pozytywną adaptację do wymagających okoliczności życiowych, jak na przykład wychowanie dziecka z zaburzeniami ze spektrum autyzmu (ASD). Artykuł stanowi przegląd badań poruszających tematykę rezyliencji rodzin w obliczu ASD dziecka. Akcent postawiony jest na wskazanie pozytywnych konsekwencji obecności tego zasobu dla jakości życia rodzin.
RODZEŃSTWO OSÓB Z ZABURZENIAMI ZE SPEKTRUM AUTYZMU – SZANSE I ZAGROŻENIA DLA ROZWOJU PSYCHOSPOŁECZNEGO
Authors: Wojciechowska Aneta
Published: September 2023

W artykule dokonano przeglądu literatury dotyczącej sytuacji rodzeństwa osób z zaburzeniami ze spektrum autyzmu (ASD). Wskazano na trudności i problemy, jakie pojawiają się w życiu rodzeństwa osób z ASD w dzieciństwie, okresie dojrzewania, jak i w wieku dorosłym.  Wyniki badań wskazują na pozytywne jak i negatywne doświadczenia pełnosprawnego rodzeństwa w kontakcie z autystycznym rodzeństwem. W artykule przedstawiono także wyniki badań  wskazujące na trudności rodzeństwa osób z ASD w zakresie zdrowia psychicznego oraz poczucia koherencji. Ostatnia część dotyczy wspierania rodzeństwa w byciu bratem/siostrą osoby z ASD oraz funkcjonowania rodzeństwa w rodzinie.
O SKUTKACH DEWASTOWANIA OŚWIATY PUBLICZNEJ W POLSCE. REKOMENDOWANE ZMIANY
Authors: Gozdowska Elżbieta
Published: September 2023

Artykuł prezentuje wyniki badań, dotyczących funkcjonowania lokalnych systemów oświaty, które zostały przeprowadzone w gminach zróżnicowanych pod względem regionu, wielkości, typu, poziomu zaludnienia, układu przestrzennego i dochodów. W wyniku badań ustalono, że szczególnie istotne uwarunkowania dla funkcjonowania lokalnej oświaty  publicznej, takie jak brak długofalowej koncepcji rozwoju polskiego systemu oświaty, stanowione prawo oraz finansowanie zadań oświatowych, są uzależnione od polityki na szczeblu centralnym i ograniczają samodzielność samorządu terytorialnego jako organu prowadzącego publiczne szkoły i placówki oświatowe. fektem namysłu autorki nad wynikami badań są rekomendacje dotyczące przyszłości oświaty publicznej Polsce, podejmujące dyskusję z badaczami tej tematyki.
OPRACOWANIE POLSKICH WERSJI KWESTIONARIUSZY POSTAW I ZACHOWAŃ PROŚRODOWISKOWYCH DO STOSOWANIA W PEDAGOGICE EKOLOGICZNEJ
Authors: Skalski-Bednarz Sebastian Binyamin
Published: September 2023

Wybuch kryzysu klimatycznego wymaga zwrócenia większej uwagi na wychowanie ekologiczne prowadzące do ochrony środowiska naturalnego. W takiej sytuacji niezbędne wydaje się opracowanie polskich wersji skal do pomiaru postaw i zachowań prośrodowiskowych, które z jednej strony umożliwią identyfikację osób wymagających włączenia w proces wychowania ekologicznego, a z drugiej pozwolą na ocenę skuteczności prowadzonych oddziaływań w tym zakresie. Celem niniejszego badania była polska adaptacja Skali Obawy o Środowisko oraz Skali Zachowania Ekologicznego. Analizy przeprowadzono na próbie 616 młodych dorosłych w wieku 19–25 lat, w tym 47% kobiet. Opracowane narzędzia wykazały wysoką trafność i rzetelność. Mogą być stosowane przez praktyków oraz w badaniach naukowych.
"SOCJALIZACJA I RESOCJALIZACJA RAZEM" JAKO NOWATORSKI PROGRAM READAPTACYJNY SŁUŻĄCY KSZTAŁTOWANIU SPOŁECZNIE POŻĄDANYCH POSTAW SKAZANYCH
Authors: Iwanicki Hubert , Janda Mateusz Jakub
Published: September 2023

Proces resocjalizacji w realizowany w zakładach karnych jest niezwykle trudny ze względu na specyfikę samej instytucji więzienia i sam fakt izolacji społecznej biorących w nim udział osób. Powszechnie uważa się, że jej skuteczność zależy przede wszystkim od motywacji osób skazanych oraz skuteczności i autentyczności kompetencji funkcjonariuszy Służby Więziennej. Projekt ,,Resocjalizacja i Socjalizacja Razem” realizowany w Areszcie Śledczym w Grójcu Oddział Zewnętrzny w Stawiszynie jest nowatorskim programem readaptacji społecznej osób odbywających karę pozbawienia wolności. Celem programu jest wzbudzenie w osadzonych empatii oraz odbudowanie poczucia własnej wartości, szacunku i akceptacji dla siebie. Więźniowie, którzy opiekują się zwierzętami, mają namiastkę wolności. Często po raz pierwszy w życiu okazują uczucia i zauważają, że są dla kogoś ważni a sama obecność zwierząt sprawia, że czują się lepsi i bardziej potrzebni, co może ułatwić im powrót do normalnego życia w społeczeństwie.