bluuebunny/crossref_metadata_2025 huggingface dataset:
Prospective Associations Between Social Connectedness and Mental Health. Evidence From a Longitudinal Survey and Health Insurance Claims Data
Authors: Weziak-Bialowolska Dorota , Bialowolski Piotr , Lee Matthew T. , Chen Ying , VanderWeele Tyler J. , McNeely Eileen
Published: June 2022

Objectives: Evidence on social stimuli associated with mental health is based mostly on self-reported health measures. We aimed to examine prospective associations between social connectedness and clinical diagnosis of depression and of anxiety.

Methods: Longitudinal observational data merged with health insurance data comprising medical information on diagnosis of depression and anxiety were used. 1,209 randomly sampled employees of a US employer provided data for the analysis. Robust Poisson regression models were used. Multiple imputation was conducted to handle missing data on covariates.

Results: Better social connectedness was associated with lower risks of subsequently diagnosed depression and anxiety, over a one-year follow-up period. Reports of feeling lonely were associated with increased risks of depression and anxiety. Association between community-related social connectedness and subsequent diagnosis of depression, but not of anxiety, was found. The associations were independent of demographics, socioeconomic status, lifestyle, and work characteristics. They were also robust to unmeasured confounding, missing data patterns, and prior health conditions.

Conclusion: Social connectedness may be an important factor for reducing risks of depression and anxiety. Loneliness should be perceived as a risk factor for depression and anxiety.
Social Disconnectedness and Mental Health Problems During the COVID-19 Pandemic in China: A Moderated Mediation Model
Authors: Xiong Ruoshan , Xia Yiwei , Tian Beihai
Published: June 2022

Objectives: This study aimed to examine the mediating effect of perceived isolation and the moderating effect of COVID-19 related concerns in the relationship between social disconnectedness and mental health problems during the COVID-19 pandemic in China.

Methods: A cross-sectional online survey of 11,682 Chinese residents were conducted during the COVID-19 outbreak. Conditional process analysis was performed to test the mediating effect of perceived isolation and the moderating effect of COVID-19 related concerns.

Results: Social disconnectedness was positively related to mental health problems, and perceived isolation significantly mediated their relationship. COVID-19 related concerns exacerbated the direct link between social disconnectedness and mental health problems as well as the indirect link via perceived isolation.

Conclusion: Social disconnectedness was a key predictor of mental health problems during the COVID-19 outbreak. The direct and indirect effects of social disconnectedness on mental health problems were stronger for respondents who had more COVID-19 related concerns. Understanding the underlying mechanisms by which social disconnectedness is related to mental health problems has important practical implications for the prevention of mental health problems during the COVID-19 pandemic.
Plasma Exosomal hsa_circ_0015286 as a Potential Diagnostic and Prognostic Biomarker for Gastric Cancer
Authors: Zheng Peiming , Gao Huijie , Xie Xuanhu , Lu Peipei
Published: June 2022

Circular RNA (circRNA) is stable and abundant in exosomes as a potential biomarker for the diagnosis and prognosis of tumor. In this study, cancer specific exosomal circRNAs were identified through circRNA microarray, and 58 circRNAs were significantly upregulated in cancer cells derived exosomes. Then 60 patients with newly diagnosed gastric cancer (GC), 30 chronic gastritis patients and 30 healthy subjects were enrolled for further clinical validation. We detected that hsa_circ_0015286 was remarkably highly expressed in GC tissue, plasma and cancer cells compared with normal controls. Results of ROC curve analysis showed that the area under curve (AUC) of hsa_circ_0015286, CEA and CA 19-9 was 0.778, 0.673, and 0.665, respectively. The combined detection of three indicators had the highest AUC (0.843). Exosomal hsa_circ_0015286 expression was closely associated with tumor size, TNM stage and lymph node metastasis. The expression level of exosomal hsa_circ_0015286 in GC patients decreased significantly after surgery. Overall survival of patients with low hsa_circ_0015286 expression was longer than those with high expression. Our data demonstrated that exosomal hsa_circ_0015286 might be a promising noninvasive biomarker for the diagnosis and prognosis evaluation of GC.
Automated Detection of Ear Tragus and C7 Spinous Process in a Single RGB Image—A Novel Effective Approach
Authors: Kramer Ivanna , Bauer Sabine , Matejcek Anne
Published: June 2022

Biophotogrammetric methods for postural analysis have shown effectiveness in the clinical practice because they do not expose individuals to radiation. Furthermore, valid statements can be made about postural weaknesses. Usually, such measurements are collected via markers attached to the subject’s body, which can provide conclusions about the current posture. The craniovertebral angle (CVA) is one of the recognized measurements used for the analysis of human head–neck postures. This study presents a novel method to automate the detection of the landmarks that are required to determine the CVA in RGBs. Different image processing methods are applied together with a neuronal network Openpose to find significant landmarks in a photograph. A prominent key body point is the spinous process of the cervical vertebra C7, which is often visible on the skin. Another visual landmark needed for the calculation of the CVA is the ear tragus. The methods proposed for the automated detection of the C7 spinous process and ear tragus are described and evaluated using a custom dataset. The results indicate the reliability of the proposed detection approach, particularly head postures.
Effects of Intramuscular Injections of Vitamins AD3E and C in Combination on Fertility, Immunity, and Proteomic and Transcriptomic Analyses of Dairy Cows during Early Gestation
Authors: Likittrakulwong Wirot , Poolprasert Pisit , Hanthongkul Worawatt , Roytrakul Sittiruk
Published: June 2022

This research aimed to investigate the effects of the intramuscular injection of vitamins AD3E and C in combination immediately before the estrus synchronization program (the Ovsynch program) on conception and pregnancy rates, blood parameters, serum biochemical properties, immune systems, antioxidant parameters, and proteomic and transcriptomic analyses during early gestation in dairy cows. Forty nonlactating multiparous cows were randomly assigned to one of four treatments: (1) C: control with normal saline injection; (2) VAD3E: a single intramuscular injection (I/M) of vitamin AD3E; (3) VAD3EC: injection of both vitamins AD3E and C; (4) VC: a single dose of vitamin C. Blood and serum samples were taken immediately at day 0 (before AI), day 7, and day 14 (after AI for 5 days) from the coccygeal vein. Generally, injections of AD3E and C in combination had no effect on the rate of conception or pregnancy. However, they improved hematological parameters and immune and antioxidant activities. Serum samples were analyzed using LC-MS/MS, and 8190 proteins were identified. Five proteins were successfully validated using the quantitative real-time reverse transcription PCR (qRT-PCR) method. This study found that lymphocyte-specific protein 1 (LSP1, A0A3Q1M894) could be used as a protein biomarker for cows administrated with vitamins AD3E and C.
Critical Energy Properties Study for Unsymmetrical Deformable Structures
Authors: Stupishin Leonid , Mondrus Vladimir
Published: June 2022

There are difficulties in the formulation and solution of problems for follower loading, temperature actions, and whether the Lagrange principle is used. By dividing the external loads and internal deformation fields that exist according to their own laws, we focused on the advantages in mechanics of deformable solids. This paper develops an approach to the study of the internal strain energy of deformed systems, based on the criterion of the critical levels of the internal strain energy. According to the criterion, the achievement of the limiting values of the internal strain energy by the system with varying internal parameters of the structure is possible for certain types of “self-stress” (“self-balance”) for deformable bodies. The latter corresponds to the levels of the critical energy of the body determined by the eigenvalues of the internal strain energy. New problems, namely the “weak link” and “progressive limiting state of the system”, are formulated and demonstrated in the examples of the study of asymmetric rod systems. The methodology used here is based on matrix methods of the structural mechanics and a mathematical apparatus for eigenvalue problems.
Copper(II) NHC Catalyst for the Formation of Phenol from Arylboronic Acid
Authors: Sharma Mitu , Adhikari Bhupendra , Awoyemi Raymond Femi , Perkins Amanda M. , Duckworth Alison K. , Donnadieu Bruno , Wipf David O. , Stokes Sean L. , Emerson Joseph P.
Published: June 2022

Arylboronic acids are commonly used in modern organic chemistry to form new C–C and C–heteroatom bonds. These activated organic synthons show reactivity with heteroatoms in a range of substrates under ambient oxidative conditions. This broad reactivity has limited their use in protic, renewable solvents like water, ethanol, and methanol. Here, we report our efforts to study and optimize the activation of arylboronic acids by a copper(II) N-heterocyclic carbene (NHC) complex in aqueous solution and in a range of alcohols to generate phenol and aryl ethers, respectively. The optimized reactivity showcases the ability to make targeted C–O bonds, but also identifies conditions where water and alcohol activation could be limiting for C–C and C–heteroatom bond-forming reactions. This copper(II) complex shows strong reactivity toward arylboronic acid activation in aqueous medium at ambient temperature. The relationship between product formation and temperature and catalyst loading are described. Additionally, the effects of buffer, pH, base, and co-solvent are explored with respect to phenol and ether generation reactions. Characterization of the new copper(II) NCN-pincer complex by X-ray crystallography, HR-MS, cyclic voltammetry, FT-IR and UV-Vis spectral studies is reported.
CRISPR/Cas9 Technique for Temperature, Drought, and Salinity Stress Responses
Authors: Li Xiaohan , Xu Siyan , Fuhrmann-Aoyagi Martina Bianca , Yuan Shaoze , Iwama Takeru , Kobayashi Misaki , Miura Kenji
Published: June 2022

Global warming and climate change have severely affected plant growth and food production. Therefore, minimizing these effects is required for sustainable crop yields. Understanding the molecular mechanisms in response to abiotic stresses and improving agricultural traits to make crops tolerant to abiotic stresses have been going on unceasingly. To generate desirable varieties of crops, traditional and molecular breeding techniques have been tried, but both approaches are time-consuming. Clustered regularly interspaced short palindromic repeat/Cas9 (CRISPR/Cas9) and transcription activator-like effector nucleases (TALENs) are genome-editing technologies that have recently attracted the attention of plant breeders for genetic modification. These technologies are powerful tools in the basic and applied sciences for understanding gene function, as well as in the field of crop breeding. In this review, we focus on the application of genome-editing systems in plants to understand gene function in response to abiotic stresses and to improve tolerance to abiotic stresses, such as temperature, drought, and salinity stresses.
Fintech Strategies of Islamic Banks: A Global Empirical Analysis
Authors: Aysan Ahmet Faruk , Belatik Abdelilah , Unal Ibrahim Musa , Ettaai Rachid
Published: June 2022

As new digitalization strategies storm the banking industry, banks which are behind the technological curve may struggle to keep pace. This is a well-known challenge in the Islamic banking sector in particular; however, this research shows that little is being done in order to achieve unified digitalization in operations. The 2020 Global Islamic Bankers Survey (GIBS) from CIBAFI sought opinions and data from 101 Islamic banks, which outlined both their institutions’ adoption of financial technology and their awareness of existing technologies. In addition, several technology trends—such as AI, machine learning, DLTs, and P2P lending—were analyzed separately in order to understand how they may be implemented within Islamic banking. This paper performed different statistical procedures to answer these research questions via correlation analysis and one-way ANOVA. The data were compiled and analyzed using SPSS software. In doing so, this study clarified the perspective of Islamic banks on digital transformation and answered whether Islamic banks are taking the right direction in terms of their digitalization strategies. Interestingly, most newly developing technologies have a low implementation level in Islamic banking operations globally, with the exception of mobile banking, which already has a vast global infrastructure. The results may serve as a warning to Islamic banks to invest more capital and energy in the developing fields of financial technologies in order to keep abreast of their conventional banking counterparts.
Assessment of bioclimatic comfort of the territories of Krasnoyarsk region by the thermal comfort index
Authors:   FSBEI HE Privolzhsky Research Medical University of the Ministry of Health of the Russian Federation, Rakhmanov Rofail Salykhovich , Bogomolova Elena Sergeevna ,   FSBEI HE Privolzhsky Research Medical University of the Ministry of Health of the Russian Federation, Razgulin Sergey Aleksandrovich ,   FSBEI HE Privolzhsky Research Medical University of the Ministry of Health of the Russian Federation, Narutdinov Denis Alekseevich ,   medical service of the military unit 73633
Published: June 2022

Various bioclimatic indices assess the influence of physical factors in cold or hot climates. The Thermal Comfort Index (UTCI) measures health risk in the ranges from heat-temperature to cold stress. The bioclimatic comfort of the habitat in the subarctic and temperate climate of the Krasnoyarsk Territory was assessed during the periods of determining climatic norms (1961–1990 and 1991–2020). The neutral temperature in a temperate climate was determined for 1 and 2 months, respectively. per year (third month — transitional). Mild cold stress was detected only for 1 month. In August and May, UTCI values indicated warming and a less significant risk of body cooling. The duration of the period of moderate cold stress remained the same: 3 months each. The duration of periods of severe cold stress began to differ by 1 month. In the subarctic, health risks ranging from mild to extreme cold stress have been reported. The same regularity was determined: in general, warming, and by months — the transition according to gradations of degrees of risk to a less significant one. In the subarctic, climate warming was determined within 8 months, in the temperate zone — 9 months. The temperature rise was determined, respectively, by 4.0–9.7 0 С and 1.4–7.1 0 С. In a temperate climate, neutral weather conditions were recorded for periods of 1 and 2–3 months, uncomfortable, respectively 11 months. and 9–10 months. In the subarctic, living conditions are only uncomfortable. The degree of health risk decreased: in a temperate climate in the spring months and August (4 months), in a subarctic climate — in March, April, June, February and October (5 months). Health risk in the form in a temperate climate in the form of mild, moderate and severe cold stress, in the subarctic, in addition, very strong and extreme stress.
The modernization of the European Union - Mexico Association Agreement: between change and continuity
Authors: Serrano Enriqueta
Published: June 2022

Within the framework of consolidating an open strategic autonomy that allows it to face the current challenges, the European Union (EU) has undertaken the challenge of strengthening global cooperation through its extensive network of association and free trade agreements. Mexico has maintained a close relationship with the EU since the Global Agreement, in force since 2000. In 2016 it was announced its modernization in order to promote a state-of-the-art agreement that responds to international changes and incorporates crucial elements for sustainable development, such as social and environmental clauses. In this context, the main objective of this document is to identify and analyse to what extent the modernization and ratification of the Mexico-European Union Global Agreement (and its full use) can contribute to a better international insertion in economic matters of each party, to its role in international relations, and to the transitions that they must undertake in aspects such as sustainable development, digitization and social cohesion. Through the pillars of the Global Agreement, in terms of political dialogue, trade and cooperation, it consists, in particular, of highlighting the potential of the agreement in order to reaffirm its strategic autonomy and contribute to the strengthening of multilateralism.
CALCULATION METHODOLOGY OF EMPLOYEE MOTIVATION USING A SYSTEM OF KEY PERFORMANCE INDICATORS OF INSPECTION AND CONTROL ACTIVITIES
Authors:   Gazprom Gaznadzor LLC, Moscow, Russia, Luk"yanchikov M.I. , Lesnykh V.V. ,   Gazprom Gaznadzor LLC, Moscow, Russia
Published: June 2022

The motivation of the company staff is one of the main mechanisms for increasing efficiency, therefore, research aimed at developing methods and their practical use is relevant. The study aims to develop a methodology and algorithm for calculating the justification for the amount of remuneration based on the employee performance, considering individual indicators. The analysis showed that the use of a system of key performance indicators to increase staff motivation is one of the main directions. In addition, the study shows that the effectiveness of the KPI system application significantly depends on the specifics of the company's activities and organizational structure and must take into account a number of organizational and individual factors. To develop a methodology for motivating personnel, the SMART methodology was used, within the framework of which a system of individual performance indicators of the company was formed, related to inspection and control activities in the energy sector. The methodology includes groups of indicators related to production activities, self-development, labor discipline, the quality of administration and execution of the company's budget, taking into account the hierarchy of the organizational structure and the specifics of the main business processes. The authors propose a formula and an algorithm for calculating an individual bonus indicator based on the performance for a period of time (quarter, year) using individual KPIs. Approbation of the methodology on the inspectors of Gazprom Gaznadzor showed its adequacy and effectiveness. The research results are of practical importance and can be used as part of the activities of corporate management companies for fuel and energy facilities to control individual KPIs and motivate staff.
RELATIONSHIP BETWEEN THE MINIMUM WAGE LEVEL AND SOCIO-ECONOMIC INDICATORS IN THE FEDERAL SUBJECTS OF THE RUSSIAN FEDERATION
Authors:   All-Russian Research Institute of Labor, Moscow, Russia, Proshin I.A.
Published: June 2022

The socio-economic development of the Russian Federation is a priority of the national development of the country. The article examines the relationship between the minimum wage level and various socio-economic indicators, such as the subsistence minimum level, unemployment, the population of the region and its GRP level, and the minimum accrued wages. The object of the study of the relationship between the minimum wage level and the achieved socio-economic indicators of the federal subjects of Russia is the development process of the federal subjects of the Russian Federation. Elaborating on the object of study, we take the subject of the research as the potential relationship between various indicators of the development of the federal subjects of the Russian Federation, specifying the process of their development. Thus, the paper aims to identify the relationship between various socio-economic indicators of the constituent entities of the Russian Federation, characterizing the process of their development and the minimum wage level in the federal subjects of the Russian Federation. The scientific novelty lies in distinguishing two types of federal districts of the Russian Federation according to the relationship between the minimum wage value and the leading socio-economic development indicators. The main research methods are analysis, systematization and modeling. The paper reveals the relationships between individual factors of the socio-economic development of the country and the value of the minimum wage. In the course of the study, the author obtained the following results: the relationship between the level of the minimum wage and the leading indicators of the socio-economic development of the country, and two types of federal districts according to this relationship. The most practical interest of the study is the classification of federal districts in relation to the indicators of their socio-economic development to the minimum wage, which will allow adjusting the ongoing programs of their socio-economic development.
NON-TRADITIONAL EMPLOYMENT: CHARACTERISTICS AND LEGAL CONFLICTS OF REGULATION
Authors:   GLONASS Association / GNSS Forum, Moscow, Russia, Abuzyarova N.A.
Published: June 2022

The subject of the study is non-traditional employment. The purpose of the study is to determine the essence, features and legal legitimacy of non-traditional and precarious employment, and the formation of an optimal mechanism for their application. The relevance of the study is due to the strengthening and spread of the role of non-standard and precarious employment in the labor market in Russia, in contrast to the traditional employment focused on the concept of labor relations based on an employment contract. The scientific novelty lies in the analysis of the categories of non-standard and precarious employment in the labor market, in determining the characteristics and legal conflicts in the regulation. Research methods are analysis, synthesis, induction, deduction and modeling. In the course of the study, the author obtained the following results: a mechanism for application was developed, and features and legal conflicts of regulation of non-traditional employment were identified. By comparing, on the basis of a comparative analysis, traditional standard employment, built on the concept of labor relations, based on an employment contract with non-standard and precarious employment, a justification is given for the need for their use in the Russian labor market without trying to transform the standard traditional employment and the forced dominance of any form of employment in the labor market. The priority market instrument “productive employment” in the use of labor resources has been identified. The author concludes that the role of non-standard and precarious employment in the Russian labor market is growing, and proves that along with non-standard and precarious employment, traditional standard employment should function, based on the concept of labor relations that arise on the basis of labor standard employment. Nonstandard and precarious employment always differs in one or more ways from the employment relationship on which standard traditional employment is based in labor regulation. At the same time, productive employment is of great practical interest, which is a priority tool for the efficiency of wages, significantly exceeding the equilibrium currently prevailing in the Russian labor market, in order to stimulate employees and minimize production costs and develop the economy.
Echo State Network Optimization using Hybrid-Structure Based Gravitational Search Algorithm with Square Quadratic Programming for Time Series Prediction
Authors: Ahmed Zohaib , Memon Muhammad , Memon Aasma , Munshi Parveen , Memon Muhammad
Published: June 2022

The Echo-State Network (ESN) is a robust recurrent neural network and a generalized form of classical neural networks in time-series model designs. ESN inherits a simple approach for training and demonstrates the high computational capability to solve non-linear problems. However, input weights and the reservoir's internal weights are pre-defined when optimizing with only the output weight matrix. This paper proposes a Hybrid Gravitational Search Algorithm (HGSA) to compute ESN output weights. In Gravitational Search Algorithm (GSA), Square Quadratic Programming (SQP) is united as a local search strategy to raise the standard GSA algorithm's efficiency. Later, an HGSA-SQP and the validation data set to establish the relation configuration of the ESN output weights. Experimental results indicate that the proposed configuration of HGSA-SQP-ESN is more efficient than the other conventional models of ESN with the minimum generalization error.
Random Walk Generation and Classification Within an Online Learning Platform
Authors: Mousa Afrah , Auth Thorsten , Samara Anas , Odeh Suhail
Published: June 2022

Advancements in technology have introduced new approaches in teaching and learning processes. Machine learning algorithms analyse and recognize patterns of data and subsequently become able to make reasonable decisions. In playing complex games, such as chess and go, machine learning algorithms have even already outperformed humans. This paper presents a software platform ‘DiscimusRW’ that introduces a novel approach for teaching, learning, and researching random walk theory and getting hands-on experience in machine learning. Random walk theory represents the foundations of many fundamental processes, including the diffusion of substances in solvents, epidemics’ spread, and financial markets’ development. ‘DiscimusRW’ is composed of three main features: 1. random walk generation using mathematical Equations, 2. random walk classification using supervised learning algorithms, and 3. random walk visualization. A few users who explored ‘DiscimusRW’ showed an interest and positive feedback that assured the experiential learning experience achieved using this software, which will therefore reinforce random walk teaching and learning.
The Jordanian Universities Experience in Integrating Online Learning and its Quality Assurance
Authors: Assaraira Thafer , Alhindawi Nouh , Bani-Mohammad Saad , Al-Anber Zaid , Albashaireh Zeid
Published: June 2022

University educational institutions in Jordan, in general, have quickly dealt with emergency situations facing education, such as the Corona pandemic, in which they needed to move from traditional learning to online learning (in its fully and blended forms) during the previous period. This led the public and private educational institutions in Jordan to implement the executive action plan that was prepared by the Ministry of Higher Education and Scientific Research (MOHESR) for integrating online learning into the higher education system and reflect it on their programs in order to keep pace with developments at the local, regional and international levels. This study includes a specification of the components relevant to online learning management system, and aims to determine the percentages of achievement at the level of fully online learning and blended learning for all components of the online learning management system in public and private Jordanian universities and also determine the percentages of achievement for each one of these components at the university level, and the most important actions that should be taken by universities to achieve them. The study also aims to benefit the integration of online learning within the Jordanian higher education system in an effective manner that achieves high levels of educational quality for online learning in its both forms and ensure the desired shift in the performance of Jordanian higher education institutions and the quality of its output, keeping pace with global developments in this field. The study concludes with a set of results that will benefit decision-makers in the Accreditation and Quality Assurance Commission for Higher Education Institutions (AQACHEI), the Ministry of Higher Education and Scientific Research (MOHESR), and Jordanian higher education institutions.
DWT and LBP Map Based Feature Descriptors for Face Recognition in Harsh Light Variations
Authors: Karanwal Shekhar
Published: June 2022

In [11] Karanwal et al. provided enhancements to three descriptors for Face Recognition under illumination variations. The three descriptors for which enhancements are done are LBP, HELBP and MBP. By deploying 2D-DWT (utilizing haar at level 1) before features extraction of LBP, HELBP and MBP, the enhancements are made. These improved ones outperforms the original descriptors comprehensively. After careful analyzing the work proposed in [11] it has been observed that even after image pre-processing, histograms of LBP, HELBP and MBP unable to capture the efficient information to declare as the robust descriptors in light variations. In the proposed work it has been observed and implemented that map feature of LBP, HELBP and MBP (after image pre-processing by 2D-DWT) yields much better accuracy than the histogram based descriptors. The three proposed descriptors are 2D-DWT+LBPmap, 2D-DWT+HELBPmap, 2D-DWT+MBPmap. These map features full and completely outperform its respective histogram features & these are LBPhist, 2D-DWT+LBPhist, HELBPhist, 2D-DWT+HELBPhist, MBPhist and 2D-DWT+MBPhist. Among all it is 2D-DWT+HELBPmap feature which yields best results. The feature compression is fulfilled by the usage of Fishers Linear Discriminant Analysis (FLDA) and classification was done from Support Vector Machines (SVM)s. For experiments Yale B (YB) and Extended Yale B (EYB) datasets are used.
Probability of Data Leakage and Its Impacts on Confidentiality
Authors: Simon Paul , Graham Scott
Published: June 2022

A multi-channel communication architecture featuring distributed fragments of data is presented as a method for improving security available in a communication architecture. However, measuring security remains challenging. The Quality of Secure Service (QoSS) model defines a manner by which the probability of data leakage and the probability of data corruption may be used to estimate security properties for a given communication network. These two probabilities reflect two of the three aspects of the IT security triad, specifically confidentiality and integrity. The probability of data leakage is directly related to the probability of confidentiality and may be estimated based on the probabilities of data interception, decryption, and decoding. The number of listeners who have access to the communication channels influences these probabilities, and unique to the QoSS model, the ability to fragment and distribute data messages across multiple channels between sender and receiver. To simulate the behaviors of various communication architectures and the possibility of malicious interference, the probability of data leakage and its constituent metrics require a thorough analysis. Even if a listener is aware that multiple channels exist, each intermediate node (if any) simply appears to have one input and one output. There may be one or more listeners, and they may or may not be working cooperatively. Even if the listener(s) gains access to more than one channel, there is still the challenge of decrypting, decoding, or reassembling the fragmented data. The analysis presented herein will explore the probability of confidentiality from both the authorized user’s and the adversary’s perspective.
INVESTIGASI KECELAKAAN KERJA AKIBAT ALAT PELINDUNG DIRI MENGGUNAKAN METODE SCAT DAN SMART-PSL
Authors: Sulistyowati Indah , Sukwika Tatan
Published: June 2022

Perkembangan industri yang semakin maju menjadi konsekuensi perusahaan didorong melaksanakan upaya pengendalian risiko yang optimal melalui pemanfaatan alat pelindung diri (APD) yang melindungi pekerja dari bahaya kecelakaan oleh berbagai sebab di tempat kerja. Kendala penerapan APD yaitu menggunakan APD yang tidak lengkap, rendahnya kesadaran dan atensi pada keselamatan dan kesehatan, terbatasnya ketersediaan dari perusahaan atau kurangnya pengawasan perusahaan. Tujuan penelitian menginvestigasi dan menganalisis faktor penyebab kecelakaan kerja yang berkaitan dengan alat pelindung diri menggunakan metode deskriptif kualitatif dan kuantitatif, sumber data berasal dari karyawan dan perusahaan. Sampel dalam penelitian ini adalah 121 responden dengan menggunakan alat analisis Systematic Cause Analysis Technique (SCAT) dan Partial Least-square (SMART-PLS). Hasil SCAT diketahui informasi kasus-kasus penyebab kecelakan yaitu pekerja alami sakit punggung bagian bawah akibat beban barang, tangan tertusuk kape dan terjepit table lifter/tertusuk antara WIP dan rak aging room, jari tersayat silet/pisau cutter dan terjepit LLDPE/nip roll, kepala terbentur sudut cover exhause, Mata terkena cairan copper dan terkena straping band. Hasil uji statistik p-value> 0.05 pada X3 (ketersediaan) terhadap Y (perilaku) berarti tidak terdapat hubungan signifikan antara ketersediaan terhadap perilaku penggunaan alat pelindung diri, sedangkan hubungan signifikan (<0.05) ditemukan pada X1 (pengetahuan), X2 (sikap) dan X4 (pengawasan) terhadap Y (perilaku) penggunaan alat pelindung diri. Perlu ada kerjasama antara manajemen perusahaan dengan pekerja dalam kedisiplinan pemakaian alat pelindung diri agar terwujudnya lingkungan kerja yang lebih baik.
INTENSITAS KEBISINGAN BERISIKO MENYEBABKAN GEJALA GANGGUAN PENDENGARAN DI PT. X
Authors: Jaya Choirul Hasan , Mardhiati Retno , Novianus Cornelis
Published: June 2022

Kebisingan di dunia industri dapat menjadi salah satu faktor penyumbang terjadinya keluhan gangguan pendengaran pekerja.  Bising merupakan bahaya yang sulit dipisahkan dari dunia industri, keberadaannya dalam dunia industri memberikan suatu ancaman bagi pekerja berupa gejala gangguan pendengaran. Tujuan utama penelitian ini adalah membuktikan bahwa gejala gangguan pendengaran berkaitan dengan karakteristik pekerja dan intensitas kebisingan di unit produksi PT. X. Data yang digunakan adalah data primer berupa pengisian angket dan sound level meter digunakan untuk pengukuran kebisingan. Teknik Sampling Jenuh digunakan dalam penelitian ini, dimana seluruh populasi menjadi sampel, dengan jumlah 82 pekerja unit produksi PT. X. Analisis univariat dan analisis bivariat (Chi Square Test) digunakan di penelitian ini. Hasil menunjukkan ada 65,9% pekerja mengalami gejala gangguan pendengaran dan ada 63,4% pekerja terpapar kebisingan diatas NAB, ada 57,3% pekerja tanpa alat pelindung telinga (APT) saat bekerja. Pekerja berumur ≥ 40 tahun ada 22%, sudah bekerja selama 5 tahun lebih sebanyak 63,4%, dan bekerja di unit berisiko ada 81,7%. Perhitungan angka risiko tertinggi ada pada intensitas kebisingan dengan Prevalensi Rasio 1,82 dibandingkan angka risiko usia, masa kerja, penggunaan APT. Terdapat hubungan bermakna antara gejala gangguan pendengaran dengan intensitas keterpaparan kebisingan (pvalue= 0,002), usia (pvalue = 0,009), masa kerja (pvalue = 0,040), dan penggunaan APT (pvalue = 0,032). Penempatan unit kerja tidak berhubungan secara bermakna dengan gejala gangguan pendengaran (pvalue = 0,329). Berdasarkan hasil penelitian disarankan perlu adanya pelatihan terkait pentingnya penggunaan alat pelindung telinga dan mewajibkan seluruh pekerja unit produksi untuk menggunakan alat pelindung telinga.

 

Kata Kunci: gangguan pendengaran, intensitas bising, risiko, alat pelindung telinga
Edukasi Kesehatan Reproduksi Remaja Mengenai Bahaya Seks Bebas
Authors: Yusnia Nina , Nashwa Raina , Handayani Denisa , Melati Dina , Nabila Febi
Published: June 2022

Pengetahuan remaja tentang pendidikan seksual yang sehat dan akseptabel masih terbatas. Rasa ingin tahu yang mendominasi remaja tentang kegiatan tersebut, membuat mereka melakukan perilaku yang mengarah pada percobaan sampai melakukan perbuatan seks bebas yang bisa menyebabkan penyakit menular seksual. Untuk mengetahui pengaruh Edukasi Kesehatan terhadap pengetahuan Kesehatan reproduksi mengenai bahaya sex bebas pada siswa-siswi SMP PGRI 1 Ciawi. Penelitian pra-eksperimen dilakukan kepada siswa-siswi SMP PGRI 1 Ciawi dengan metode pengambilan sampel dengan random sampling sebanyak 29 responden, untuk memperoleh hasil penelitian digunakan uji T pada pretest dan post test dengan P-value <0,05. Diperoleh hasil perhitungan uji statistic dengan menggunakan komputerisasi, diperoleh nilai t sebesar -4,792 dan p=0,000 (p<0,05). Terdapat pengaruh Edukasi Kesehatan terhadap pengetahuan siswa-siswi SMP PGRI 1 Ciawi.
Afet Durumlarında Beslenme Hizmetleri
Authors: ÖNEY Başak , AKMAN Kübra
Published: June 2022

İnsanların fiziksel, ruhsal ve ekonomik yönden olumsuz etkilenmesine, normal yaşam düzenlerinin bozulmasına ve birçok can ve mal kaybının gerçekleşmesine neden olan doğa veya insan kaynaklı olaylara afet adı verilmektedir. Afetlerde bireylerin yaşadığı olumsuzlukların azaltılabilmesi için bireylerin ihtiyaçlarının karşılanması gerekmektedir. Karşılanması gereken ihtiyaçlardan birisi de temel bir gereksinim olan beslenme ihtiyacıdır. Beslenme ihtiyacı karşılanırken afet durumunun yarattığı koşullar ve kişilerin fizyolojik özellikleri göz önüne alınmalıdır. Afet durumlarında beslenmenin amacı, afetten etkilenen bireylerin yeterli, dengeli ve sağlıklı beslenmelerini ve normal yaşantılarındaki beslenme düzenlerine olabildiğince çabuk geri dönebilmelerini sağlamaktır. Afet durumlarında diğer kişilerden çok daha fazla etkilenen hassas grupların beslenmesine öncelik verilmeli, yeterli, dengeli ve sağlıklı beslenmelerinin sağlanması gerekmektedir. Afetlerde, beslenme hizmetlerinin sağlanması ile yaşanabilecek olumsuzlukların en aza indirgenmesi ve beslenme kaynaklı sorunların giderilmesi oldukça önemlidir. Bu derleme makalede afet durumlarında beslenme hizmetlerinin nasıl olması gerektiği ele alınmıştır.
Proposed method for building an anti-drone system for the protection of facilities important for state security
Authors: Łukasiewicz Jędrzej , Kobaszyńska - Twardowska Anna
Published: June 2022

Unmanned aerial vehicles (UAVs) pose a threat to buildings and facilities important to the security of the state. As they are able to operate like individual aircraft, the number of ways they can be used for terrorist activity is practically unlimited. Anyone in charge of a facility that is crucial for the reliable functioning of a state is obliged to ensure an acceptable level of security. Since drones can be used to attack protected structures, they need to be protected by an anti-drone system. The paper proposes a method for assessing the effectiveness of systems for detecting and neutralising unmanned aerial vehicles. In order to suggest a new method for assessing the effectiveness of anti-drone systems, an analysis of the scientific literature and other documents describing existing anti-drone systems has been carried out. Attacks involving the use of drones, both in wartime and in incidents of terrorism, are also analysed and existing anti-drone solutions assessed. Because there are a variety of technical solutions for the detection and neutralisation of drones, and different location and weather conditions, a universal method is proposed based on probability calculations and neutralisation of drones, using mathematical formulas. This method allows for the effectiveness of the entire anti-drone system to be assessed on the basis of measuring the probability of detection and neutralisation of drones in real conditions. The proposed method allows the effectiveness of the currently existing anti-drone systems to be evaluated and for new methods for detecting and neutralising drones to be proposed. This method, based on mathematical calculations, enables software to be written for simulating anti-drone systems on computers and for the effectiveness of these systems to be confirmed before their construction in a protected facility.
Carbon Footprint Analysis
Authors:   University of Houston, Kacmar Donna
Published: June 2022

We have recently documented the carbon footprint of two buildings. Both buildings are new 300,000 square foot concrete frame office buildings in Houston, Texas commissioned by the same developer, built by the same contractor, yet designed by different architects. We tracked the carbon emitted from materials, worker transportation, energy use on site, and waste. It is becoming increasingly important for designers to understand the implications of their material choices and this study helps clarify some of the results of design decisions.
Performance Driven Structural Design: Biomimicry in Structure
Authors:   University of Maryland, Hu Ming
Published: June 2022

Since last century one of the iconic dichotomy that divides architectural designers into two groups performance and appearance. It is to our benefit to reconcile the performance-appearance debate and to provide an unambiguous definition of the related notions. And natural organism and system is a great model to follow. Biomimicry is the study of emulating and mimicking nature, where it has been used by designers to help in solving human problems1Biomimicry as an emerging field since late 1980s has been looking at advanced technologies derived from bio-inspired engineering at the different levels; however,the research of biomimicry application in the structure design field is lagging behind other design related fields, such as product design and material design. The paper is to provide a framework to answer the question: How do we make biomimicry concepts practical in the context of structural design and from what key perspectives? And to address how performance and appearance could be blended into one and measured and verified as a whole. This paper will address two important factors influencing structure performance: form-pattern making and the properties of materials. Numerous case studies will be used to demonstrate a variety of strategies corresponding to different levels of performance-driven structure design based on bioengineering. This paper aims to integrate material science and biology study into the research of architectural structure design.
Diversion Dynamics: A Process-Based Approach to Deconstruction Analysis
Authors:   IE University, Mayer Matan
Published: June 2022

This paper presents a deconstruction analysis approach which focuses on mapping variations in landfill diversion rates throughout the course of onsite operations. The methodological foundations of the approach are described and a study of a recent deconstruction case is presented in order to demonstrate practical applications. Lastly, challenges, opportunities, and future developments are discussed.
From Bit to It: The Demand for Networked Building Codes
Authors:   University of Virginia, Ripple Jeanna D.
Published: June 2022

An interdisciplinary organization called the CityProtocol Society recently proposed a universal format for urban data collection. Noticeably missing is a taxonomy of data-types to enable cross-referencing with an old form of city protocols—building codes. As smart cities move from data collection toward predictive formulas, this article argues that both smart city data and building codes must adapt to share attributes and test operations. Using computational theory as a framework, the reorientation of building codes toward networked response is considered as a link between urban material performance and the next phase of smart city formation.
New Cloud Atlas
Authors:   University of British Columbia, Dahmen Joseph , Dalton Ben ,   LEEDS Beckett University, Frid-Jimenez Amber ,   Emily Carr University
Published: June 2022

Access to information is a vital element of a free society.1However, contemporary information infrastructure is largely constructed, operated, and maintained by major corporations. These multinational entities have reach at once more extensive and less transparent than the national governments that have traditionally provided other forms of public infrastructure.2The New Cloud Atlas (http://newcloudatlas.org) is an open-source participatory platform that maps and catalogues the physical assets of the cloud—warehouse data centers, Internet exchanges, connecting cables and switches—in an open and accessible way, rendering the physical infrastructure of information open to public scrutiny. The project is modeled on theInternational Meteorological Organization, which at its founding in 1873 was one of the first transnational entities engaged in the global exchange of information.
The Derailment of Detroit: Public Transitas a Threat to the Brand of Capitalism
Authors:   University of Detroit Mercy, Resnick Noah
Published: June 2022

The disappearance of the Detroit Street Railway in the mid 1950’s ushered in the demise of a functioning mass transit system in a city that had found such a thing to be obsolete. While this loss cannot be blamed for the economic, social, and spatial collapse of the city, neither can the reverse be said that the once largest urban network of streetcars in the nation was simply a victim of Detroit’s ruin. When the last streetcar made its final run in 1956, the Motor City brand and the auto industry it nurtured were at the peak of their economic powers, and the high-water mark of the city’s population. This paper will examine the factors that caused a large city to abandon its primary mass transportation system and build the argument that it was not the slow deterioration of a failing municipal amenity, but the result of an automotive branding campaign that defined capitalism by infiltrating the spatial, social, cultural, economic, and governmental mechanisms of the American city.
Lafayette Park: In-Between Urbanism
Authors:   University of Detroit Mercy, Stanard Virginia
Published: June 2022

Criticism of modernist planning strategies in the United States has prompted the demolition of superblock housing projects and the subsequent approbation of New Urbanism as a model for urban revitalization. Despite these trends, the Lafayette Park development in Detroit challenges and contradicts the presumed failures of modern architecture and urbanism. A paradox of city and suburb amidst the contested urbanism of Detroit, Lafayette Park’s significance lies in its contradictions—the reification of Modernism’spotential combined with the limitations of this vision. These contradictions have enabled the success of lafayette Park, elevating it as a development model for Detroit’s future.
Integrating an Ethos of Service into the Beginning Design Studio
Authors:   Hampshire College, Darling Naomi
Published: June 2022

The skills of architects in service of global communities are more urgently needed than ever before as we face climate change and large scale urbanization. This paper discusses the work undertaken in a foundational design studio within a liberal arts college that aims to take a critical regionalism approach to design and validate an ethos of service in architectural practice.