bluuebunny/crossref_metadata_2025 huggingface dataset:
Efficient secure comparison in the dishonest majority model
Authors:   , Allami Ali
Published: December 2022

Secure comparison (SC) is an essential primitive in Secure Multiparty Computation (SMC) and a fundamental building block in Privacy-Preserving Data Analytics (PPDA). Although secure comparison has been studied since the introduction of SMC in the early 80s and many protocols have been proposed, there is still room for improvement, especially providing security against malicious adversaries who form the majority among the participating parties. It is not hard to develop an SC protocol secure against malicious majority based on the current state-of-the-art SPDZ framework. SPDZ is designed to work for arbitrary polynomially-bounded functionalities; it may not provide the most efficient SMC implementation for a specific task, such as SC. In this thesis, we propose a novel and efficient compiler specifically designed to convert most existing SC protocols with semi-honest security into the ones secure against the dishonest majority (malicious majority). We analyze the security of the proposed solutions using the real-ideal paradigm. Moreover, we provide computation and communication complexity analysis. Comparing to the current state-of-the-art SC protocols Rabbit and edaBits, our design offers significant performance gain. The empirical results show that the proposed solution is at least 5 and 10 times more efficient than Rabbit in run-time and communication cost respectively.
Explainable artificial intelligence for patient stratification and drug repositioning
Authors:   , Al-Taie Zainab
Published: December 2022

Enabling precision medicine requires developing robust patient stratification methods as well as drugs tailored to homogeneous subgroups of patients from a heterogeneous population. Developing de novo drugs is expensive and time consuming with an ultimately low FDA approval rate. These limitations make developing new drugs for a small portion of a disease population unfeasible. Therefore, drug repositioning is an essential alternative for developing new drugs for a disease subpopulation. There is a crucial need to develop data-driven approaches that find druggable homogeneous subgroups within the disease population and reposition the drugs for these subgroups. In this study, we developed an explainable AI approach for patient stratification and drug repositioning. Exploratory mining mimicking the trial recruitment process as well as network analysis were used to discover homogeneous subgroups within a disease population. For each subgroup, a biomedical network analysis was done to find the drugs that are most relevant to a given subgroup of patients. The set of candidate drugs for each subgroup was ranked using an aggregated drug score assigned to each drug. The method represents a human-in-the-loop framework, where medical experts use data-driven results to generate hypotheses and obtain insights into potential therapeutic candidates for patients who belong to a subgroup. To examine the validity of our method, we implemented our method on individual cancer types and on pan-cancer data to consider the inter- and intra-heterogeneity within a cancer type and among cancer types. Patients' phenotypic and genotypic data was utilized with a heterogeneous knowledge base because it gives a multi-view perspective for finding new indications for drugs outside of their original use. Our analysis of the top candidate drugs for the subgroups showed that most of these drugs are FDA-approved drugs for cancer, and others are non-cancer related, but have the potential to be repurposed for cancer. We have discovered novel cancer-related mechanisms that these drugs can target in different cancer types to reduce cancer treatment costs and improve patient survival. Further wet lab experiments to validate these findings are required prior to initiating clinical trials using these repurposed therapies.
Mining the Drosophila gustatory receptor family for new thermosensitive proteins : basic science and tool development
Authors:   , Amirshenava Marzie
Published: December 2022

Extrinsic control of neural activity is a powerful paradigm for understanding how neural circuits operate and regulate behavior. Traditionally, optogenetic tools are used to activate or inhibit neuronal activity with light. However, using visible light as the stimulus has some limitations, such as limited penetration in opaque tissue and overlap of absorption spectra when using multiple probes. A complementary approach is to use temperature as a stimulus, and thermosensitive TRP channels as the thermogenetic probes. These channels also have some limitations, particularly in their temperature sensitivity range. A new and exciting candidate for developing new thermogenetic tools has been recently identified as Gr28bD, a member of the Drosophila gustatory receptor family, normally involved in high-temperature avoidance behavior. My work on Gr28bD started with a characterization of its biophysical properties, particularly temperature sensitivity and ionic selectivity (Chapter 1). Then, to expand the pool of potential candidates for thermogenetic tools, I examined the orthologs of Gr28bD in other species of Drosophila, and I found five other receptors that have distinct thermosensitive properties (Chapter 2). To better understand the mechanism of thermosensitivity, our team successfully modeled the molecular structure of Gr28bD, obtaining preliminary evidence of its homotetrameric organization. To obtain further information on the structural and functional elements of this channel, I tested a series of Gr28bD mutants (Chapter 3). Finally, I participated in writing a book chapter on new computational methods for testing ion channel kinetic mechanisms (Chapter 4).
Information fusion for robust detection of scarce features/objects in high resolution electro-optical satellite imagery
Authors:   , Cannaday Alan Bruice
Published: December 2022

We conducted research to develop and test methods to improve the detection of scarce objects in high-resolution electro-optical satellite imagery. We demonstrated improvements through various forms of information and data fusion that included heuristic analyses, fuzzy integrals, and neural learning. Scarce objects of interest included Surface-to-Air Missile (SAM) Sites, SAM Launch Pads (SAM LP), SAM Transporter Erectile Launchers (SAM TELs), Construction Sites, and Engineering Vehicles. We demonstrated improved detection and reduced error in broad area search for SAM Sites in Southeast China by fusing the larger feature with the detection of smaller, multi-scale elements/components (i.e. SAM TELs and LPs) within the larger feature using heuristics and neural learning. We expanded these techniques to demonstrate improved detection of Construction Sites. We next demonstrated the improved detection of small, scarce objects (i.e. Engineering Vehicles) by fusing the outputs from multiple deep CNNs of various architectures and sizes through multi-layer perceptrons and fuzzy integrals. Major improvements were then achieved by leveraging existing CNN models designed for 3-band (RGB) models to train and process 8-band multi-spectral imagery partitioned into a set of three 3-band images and then fusing the results using fuzzy integrals. We finally demonstrated that bounding-box object detection for SAM TELs could be improved by ensembling/fusing bounding-box results from multiple detectors using a novel Pseudo-Cell State Long-Short Term Memory (PCS-LSTM) neural network developed in this research. The PCS-LSTM is a two-layer, non-serial LSTM neural network architecture that utilizes bounding-box context to act as a first-layer quasi/pseudo cell memory.
Influence of various wetting agents on water status in USGA greens as determined by their physical properties
Authors:   , Fleetwood Matthew Curtis
Published: December 2022

Soil hydrophobicity is an increasing issue in sandy soils, affecting agricultural land and golf courses. This phenomenon causes water repellency and bypassing of hydrophobic root zones, limiting water accessibility. Due to golf course putting greens utilizing a sand-based rootzone, soil water repellency commonly occurs, leading golf course superintendents to apply wetting agents to mitigate its effects. Over 75 percent of the wetting agents currently on the turfgrass market do not list their active ingredients, which limits the predictability of their performance in the rootzone. These studies investigated how various wetting agents influence water's physical properties, such as surface tension ([gamma]), to predict the effect of wetting agents on water infiltration or retention. The determination of the [gamma] of 23 different wetting agents led to the hypothesis that wetting agents with [gamma] values [less than or equal to] 30 mN m-1 have greater influence on water infiltration; those between 30 to 40 mN m-1 influence both water infiltration and retention; and those [greater than or equal to] 40 mN m-1 have greater influence on water retention. Three studies were conducted based on the surface tension categories to determine a correlation between: 1) selected wetting agents' water infiltration and rewettability into water-repellent sand; 2) to evaluate selected wetting agents' influence on water infiltration and retention under field conditions; and 3) to determine selected wetting agents' influence on water movement and leaching through water-repellent sand utilizing a soil water tracer. Our results contradicted our original hypothesis that [gamma] alone cannot be utilized to predict a wetting agent's functionality, however demonstrated that other factors need to be assessed. Abbreviations and key words: infiltration; leaching; rewettability; soil hydrophobicity; soil water tracer; [gamma], surface tension; water movement; water repellency; water retention; wetting agent
Nursing professional development in ambulatory care: what is it?
Authors:   , Fritz Elizabeth
Published: December 2022

Nursing professional development (NPD) practitioners play an important role in ensuring the quality and safety of nursing care and in guiding nurses through practice transitions. In recent years, an increasing number of NPD practitioners have been employed in ambulatory care settings, yet little is known about how the ambulatory practice setting affects or is affected by NPD practice. The aim of this descriptive phenomenology was to describe how the NPD role is experienced in the ambulatory care setting. Nine NPD practitioners working in ambulatory care were interviewed. Data were analyzed using Priest's method for descriptive phenomenology. Three themes emerged: Features of the ambulatory care setting that affect NPD practice; same, but different; and these are my people. The findings provide a rich description of NPD practice in ambulatory care, with implications for NPD practitioners in ambulatory care and the organizations that employ them. Results from this project will be used to design future research on optimizing NPD practice to improve nursing care in ambulatory settings
Running head: career development practices in a Missouri high school
Authors:   , Kaelin Sarah Elizabeth
Published: December 2022

Context: The Missouri Department of Elementary and Secondary Education (DESE) has increased their focus on College and Career Readiness through preparation and exploration (DESE, 2016). Career development curriculum exists within DESE's Missouri Comprehensive School Counseling Program. Despite this guidance for what to teach, there is no implementation model provided for putting career development education into practice for Missouri educators. Objective: This study examines the current career development practices at one Missouri high school as well as the perceived self-confidence of teachers in providing instruction to students and the methods of support they require to do so. Setting: This study took place in a Missouri public high school housing grades 9-12. Participants: Forty members of Middleville (pseudonym) High School's faculty. Data Collection and Analysis: Data was collected using an electronic survey with both likert scale ratings and open ended questions. A descriptive analysis of this quantitative design was used to determine findings. Results: The analysis of teacher confidence data resulted in a normal distribution curve within each grade level. Teachers also assessed that there are very few of the career development GLEs covered and most are not taught in a structured way. Teachers' preference for lesson delivery varied primarily between electronic and being provided written lesson plans
A Python-based GIS simulation of a water balance for wetland decision-making
Authors:   , Mohammed Mohammed Gadban
Published: December 2022

Many efforts have been undertaken to restore, maintain, and remediate impacted and lost wetlands. Wetlands provide natural habitat for amphibians and significantly support the ecosystem. Researchers have dedicated their continuous efforts to support these wetlands. This research is an effort to support wetland functionality by developing an assessment tool that helps in decision making for mitigation efforts. It also will assist in analyzing landscape to determine how much and for how long water will exist on the soil surface necessary for the existence of wetlands. The primary goal was to represent infiltration and evapotranspiration spatially and temporally by the creation of a Python code that can be used automatically and that produces a GIS representation of results. One way to connect these two main components and other hydrological components such as excess water, direct evaporation from open water surface, and drainage is through soil water content. The overall goal was to apply water balance at a potential wetland site to determine the potential existence of the excess water component. The study area is a location within Pershing State Park within Linn County, Missouri. Three goals have been set in this research in order to achieve the ultimate goal: simulate evapotranspiration (ET); 2) simulate infiltration using the Green Ampt (G-A) model, and 3) represent the simultaneous processes of ET and infiltration by linking them through soil water content. The effort used publicly available data. Various tests indicate that the results produced by GAINS2 quantify the various hydrological parameters consistent with the applicable hydrological processes. GAINS2 is a single tool that can be used for long-term simulation of integrated hydrologic processes to support crop management and decision making for wetland mitigation programs.
Characterization of diverse soybean genotypes for phosphorus uptake and use efficiency
Authors:   , Nguyen Thi Van Anh
Published: December 2022

Soybean (Glycine max L. Merrill) is one of the most important legume crops grown worldwide. However, without phosphorus (P) fertilization, soybean yields often are limited by phosphorus availability. Phosphorus is an essential macronutrient and P uptake ability and P use efficiency (PUE) of a crop critically influence its productivity. To improve soybean yields under low-P conditions, a better understanding of the mechanisms underlying P uptake and PUE is needed. The first part of this study was aimed at identifying and characterizing soybean genotypes which contrast in their ability to take up P and in their PUE. Results from pot and field experiments with diverse soybean genotypes, including SoyNAM parents, obsolete cultivars, commercial cultivars, and plant introduction lines, revealed significant differences among genotypes for numerous P-related traits. Significant differences in shoot P concentration, shoot P content used as surrogate measure for P uptake, physiological PUE, and root complexity were observed among genotypes. Phosphorus use efficiency was much higher under low-P conditions compared to P-sufficient conditions. Positive correlations between biomass production and P uptake and top-soil root architecture and P uptake were observed. In a subset of five contrasting genotypes, soybean root symbiosis with arbuscular mycorrhizal fungi (AMF) was investigated to explore whether mycorrhizal infection levels were related with genotype differences in P uptake and PUE. All five genotypes displayed high AMF colonization percentages ([greater than] 80 percent) and no significant differences in mycorrhizal colonization were detected among genotypes and between low-P and P sufficient treatments. Arbuscular mycorrhizal fungi colonization did not explain observed differences in P uptake, and approaches aimed at increasing levels of AMF infection in soybean do not appear promising, at least not for environments like the one used in this study. This research identified soybean genotypes contrasting for shoot P concentration, shoot P content, PUE, and topsoil root system architecture. Further, it confirmed differential sensitivity of diverse soybean genotypes to P availability. The identified genotypes can serve as a resource for physiological and genetic studies as well as in breeding efforts aimed at improving P uptake and PUE in elite germplasm.
A class of weakly informative prior on multinomial logistic regression with separated data
Authors:   , Shao Peng
Published: December 2022

Complete separation in logistic regression, sometimes referred to as perfect prediction, occurs when the outcome variable completely separates predictor variables. The likelihood function is monotonically increasing on the boundary of parameter space, and the MLE becomes infinity. Bayesian methodology or penalized likelihood methodology is needed to fix this issue. Most researchers used a proper prior like Cauchy prior or t7 prior on the separated data to ensure a proper tail of the posterior. In this dissertation, we proposed a class of improper prior and gave the conditions on posterior propriety. In Chapter 2, we discuss a special form of separated multinomial data, a sparse contingency table. The concept of cone and polar is introduced, and we use a relative design matrix to analyze the property of multinomial data. We propose the degree of overlap to describe the level of quasi-complete separation. An improper shrinkage prior is used, and the condition of posterior propriety is given. Chapter 3 discusses the general form of multinomial regression with complete separation and proposes the partially informative shrinkage (PIS) prior. Chapter 4 continues with this prior structure and generalizes the PIS prior in the high dimensional scenario when the number of parameters is more than the number of observations. Numerical simulation and actual data examples are used under each situation to illustrate the performance of the proposed priors.
Engineering nanomaterials for cancer theranostics
Authors:   , Yadavilli Sairam
Published: December 2022

This thesis aims to engineer novel nanomaterial to target receptors on the surface of cancer to diagnose and deliver cytotoxic drugs or siRNA selectively. Receptor-targeting peptides have been relatively unexplored to deliver nanomaterial to cancer. The paucity is due to the challenge associated with the synthesis in assembling the components on a nanomaterial. We developed a universal methodology to overcome the synthetic difficulty and generated a library of peptide-targeted nanomaterial. These materials are targeted towards the following receptors: PD-L1, GRPR, and cMET, which are overexpressed in cancers. In addition, we investigated the diagnostics efficacy of nanomaterials targeted towards PD-L1, and the results showed the unique advantage of these classes of particles to quantify the receptors. Finally, we evaluated the in vitro and in vivo (in GRPR) efficacy of the targeted nanomaterials attached with the Doxorubicin drug in ovarian and hepatocellular cancers. The in vitro results established the superiority of the targeted material over the conventional chemotherapeutics. However, the in vivo evaluation of GRPR targeted nanomaterials showed only moderate efficacy compared with the chemo drug. Importantly, all the animals administered with targeted nanomaterial were healthy and alive at the end of the study; in contrast, all mice administered with doxorubicin succumbed to death. During this study, we gathered that targeted delivery of chemotherapeutics alone might be insufficient to overcome drug resistance and genetic inhibition is imperative. Therefore, we developed another nanomaterial to deliver two siRNAs to co-inhibit drug-resistant proteins and performed preliminary cancer cells. Further studies are warranted to establish this as a therapeutic modality. The experience allowed us to embark on an audacious project wherein we used non-cancer drugs to treat the tumor. Based on the solid scientific rationale, we combined COPD drug and tyrosine kinase inhibitor to treat lung cancer, and the results show benefit. The significance of this study is that the engineered nanomaterial possesses the potential to deliver the drug to cancer, reduce toxicity, and overcome drug resistance; further studies using clinically relevant patient-derived xenograft mouse models help translate the materials to clinics for patient benefits.
Instrumental analysis, sensory analysis and consumer acceptance of strained yogurt in frozen desserts
Authors:   , Bullock Yanni
Published: December 2022

There is a surging demand from consumers for healthier products that are lower in calories but maintain their original flavor and texture. Many countries around the world have worked to develop new techniques to improve our food supply and food products, including the utilization of functional foods and nutraceuticals. Utilizing Greek style yogurt (GSY) as a functional ingredient in frozen desserts will be a unique approach to enhancing the texture and flavor of frozen yogurts without sacrificing consumer acceptance. The objective of this study was to investigate various formulations of set yogurt and GSY with an ice cream mix in order to assess the physico-chemical effects and organic acid and carbohydrate changes. The second objective was to assess these formulations from a sensory perspective, with a combination of descriptive analysis and consumer acceptance to determine which treatments were preferred in relation to a control ice cream. Another objective was to investigate various statistical techniques that link the Overall Liking attribute among the treatments with the measured sensory and non-sensory based attributes. A one-way ANOVA analysis with orthogonal contrasts found that that despite the lack of significant differences among macronutrients (e.g., protein, fat, and carbohydrates), significant differences could be observed among pH, titratable acidity, hardness, gumminess, chewiness, particle size and flow behavior at small changes in the frozen dessert formulation. Treatments containing higher yogurt concentrations, especially those with Greek yogurt, were significantly different than the treatments with lower concentrations of yogurt.
Pengaruh Media Sosial dan Pengetahuan Kewirausahaan terhadap Minat Berwirausaha
Authors: Rahayu Erva Puspita , Sulistyowati Shanti Nugroho
Published: December 2022

Tujuan dari penelitian yaitu mengetahui, 1)pengaruh parsial media sosial terhadap minat berwirausaha,2)pengaruh parsial pengetahuan kewirausahaan terhadap minat berwirausaha, 3)pengaruh secara simultan media sosial dan pengetahuan kewirausahaan terhadap minat berwirausaha mahasiswa STKIP PGRI Jombang. Penelitian ini adalah penelitian kuantitatif, dimana menggunakan analisis regresi linier berganda sebagai pendekatannya. Jumlah populasi sebanyak 295 mahasiswa aktif, diambil dengan teknik proportional random sampling. Sampel penelitian sebanyak 75 mahasiswa, diambil secara proporsional dari enam program studi. Temuan penelitian menunjukkan: 1) Sosial media berpengaruh terhadap minat wirausaha mahasiswa; 2) Pengetahuan kewirausahaan berpengaruh terhadap minat berwirausaha mahasiswa; 3) Sosial media dan pengetahuan kewirausahaan berpengaruh terhadap minat berwirausaha mahasiswa STKIP PGRI Jombang, dilihat dari uji simultan dimana sig 0,00 < 0,05.
Determinasi Faktor Psikologik, Sosial dan Finansial pada Kepuasan Kerja Tenaga Edukatif Akademi Keperawatan Universitas Muhammadiyah Purwokerto
Authors: Supriatin Dyah , Barima Hima
Published: December 2022

Guru terbaik dalam memikirkan kepuasan kerja, sikap menyenangkan sebagai bentuk reaksi emosional terhadap sikap positif dan negatif yang berpengaruh secara emosional, dan pencapaian tugas pendidikan, pendidikan, penelitian, dan pengabdian kepada masyarakat. Ada banyak hal yang dipengaruhi kepuasan dari kerja, diantaranya merupakan faktor psikologis, finansial dan sosial. Analisis pengaruh faktor psikologis, ekonomi dan sosial pada kepuasan kerja guru pada Akademi Keperawatan Muhammadiyah Purwokerto merupakan tujuan untuk jalannya penelitian ini. Metode survei menggunakan pendekatan survei kuantitatif, dan kuesioner diberikan kepada responden yaitu para pengajar (tenaga kependidikan). Analisis data menggunakan analisis regresi logistik berharap bisa memperlihatkan hal yang dominan berpengaruh pada kinerja instruktur dengan mengkaji pemodelan persamaan regresi. Hasil pada penelitian ini bahwa: (a) faktor psikologis berpengaruh signifikan terhadap kepuasan kerja. (b) faktor sosial berpengaruh signifikan terhadap kepuasan kerja. (c) faktor finansial tidak berpengaruh signifikan terhadap kepuasan kerja.
The Influence of Financial Reporting Quality on Information Asymetries in Company Management Strategies
Authors: Wirawan Nugroho Budi , Pratiwi Agustin Riyan , Gresya Hanny
Published: December 2022

The aims of this study is to evaluate the influence of value on information asymmetry, conservativeness, and timeliness of companies from 2013 to 2016, it was publicly listed and was involved in the industrial sector. A sample of this study used a sample of interest and a sample size of 312. The methods used to analyze the data were the regression analysis previously tested with the multicollinearity test, normality test, heterogeneity and test autocorrelation test. The results that the relevance of values does not affect the information asymmetry, as evidenced by the sig value. the count is greater than 0.05 ie 0.746 > 0.05. Then the conservatism variable does not affect information asymmetry. This is evidenced by the sig value. the count is greater than 0.05 ie 0.540 > 0.05. Then the timeliness variable does not affect the information asymmetry, this is proved by the sig value. count smaller than 0.05 ie 0.014 < 0.05.
Pengembangan Bahan Ajar Berbasis Aplikasi E-Learning pada Mata Pelajaran Ekonomi Kelas XI Materi Perpajakan
Authors: Almadhea Daphne Rizka , Idah Sakinatul Af , Rohmah Adelia Lailatur
Published: December 2022

Penelitian ini dilakukan dengan tujuan untuk menghasilkan bahan ajar yang interaktif, efektif, dan efisien dalam melaksanakan proses pembelajaran. Bahan ajar tersebut berupa aplikasi E-Learning yang digunakan dalam menyajikan materi pembelajaran ekonomi perpajakan kelas XI pada salah satu Sekolah Menengah Atas di Kabupaten Sidoarjo. Jenis penelitian yang digunakan adalah Research and Development (R&D) atau penelitian pengembangan dengan model 4D (Define, Design, Develop, Disseminate). Penggunaan bahan ajar berbasis aplikasi E-Learning ini diharapkan dapat membantu permasalahan pendidikan yang dirasakan oleh peserta didik dan guru. Terlebih di masa pandemi covid-19 ini mayoritas peserta didik merasa kurang memahami materi pembelajaran dan cenderung bosan dengan metode pembelajaran yang sering digunakan. Dengan menggunakan aplikasi E-Learning dalam melaksanakan kegiatan belajar dan mengajar, peserta didik dapat mengakses materi tanpa terbatas waktu dan tempat, serta dapat diakses dengan mudah menggunakan handphone.
Peningkatkan Aktivitas Belajar dan Hasil Belajar pada Mata Pelajaran IPA melalui Metode Mind Map Siswa SMP Negeri 9 Kota Tangerang Selatan
Authors: Rahman Muhtar Azis
Published: December 2022

Pada penelitian ini terdapat siswa yang menunjukan aktifitas rendah dan hasil belajar pada mata pelajaran IPA kurang dari yang diharapkan yaitu sesuai kriteria ketuntasan minimal (KKM). Penelitian ini bertujuan untuk mengetahui adanya peningkatkan aktifitas dan hasil belajar IPA peserta didik pada pokok bahasan besaran dan satuan melalui Model Pembelajaran koperatif pada siswa kelas VII-1. Penelitian Tindakan kelas ini menggunakan metode mind mapp. Jumlah siklus yang dilaksanakan pada penelitian ini adalah 3 siklus, setiap siklus mencakup 4 tahap adalah perencanaan, pelaksanaan, observing dan refleksi. Penelitian menunjukkan adanya peningkatan aktifitas dan hasil test belajar siswa mata pelajaran IPA kelas VII-1. Hal ini dibuktikan melalui hasil observasi aktifitas dan hasil test belajar pada setiap siklus yang selalu meningkat. Aktifitas siswa sebelum peneitian = 55%; siklus 1 =66,5%; siklus 2 = 83%. Jumlah rata-rata nilai yang dicapai pada sebelum siklus = 65; siklus 1 = 68; dan siklus 2 = 83.  Hasil penelitian menunjukan proses belajar IPA dengan menggunakan metode Mind Mapp dapat meningkatkan aktifitas dan hasil belajar siswa.
Analysis of Perceived Value and Social Influence as an Influence of Consumer's Purchase Decision Iphone Users in Semarang City
Authors: Nurochim Ahmad Zakia , Suroija Noor - , Supaya Sandi -
Published: December 2022

This study aims to determine the effect of Perceived Value and Social Influence towards consumer’s purchase decision of iPhone users. This study uses a quantitative approach. The population in this study are customers who have purchased an iPhone in January – June 2022. The sample used is 100 customers. The sampling technique in this study was to use non-probability Purposive Sampling. Data is collected using a questionnaire that has been tested for validity and reliability. Data analysis techniques used in this research was classical assumption test, multiple linear analysis, coefficient of determination, F-test, and T-test. Data processing is carried out using SPSS version 25. The results of this study indicate that perceived value and social influence have a positive and significant effect on purchase decisions
Influence of Job Characteristics and Non-Physical Work Environment on Job Satisfaction at Biro Adm. Pemda Propinsi Jateng
Authors: Annajib Citra Lutfi , Budi Utaminingtyas Rara Ririn , Malebra Irawan -
Published: December 2022

The purpose of this study was to determine the effect of job characteristics and non-physical work environment on job satisfaction of employees of the Biro Administrasi Pembangunan Daerah Sekretariat Daerah Provinsi Jawa Tengah. Collecting data by questionnaire, and observation. The scale used in this study is a Likert scale of 5. Using saturated sampling, the samples of this study were all employees of the Biro Administrasi Pembangunan Daerah, totaling 42 employees. The analytical method used in this study is multiple linear regression analysis, validity test, reliability test, classic assumption test, F test R square, and T-test. The results of this study indicated that job characteristics and non-physical work environment affect job satisfaction. Job Characteristics and Non-Physical Work Environment contributed 53.2%, while the remaining 46.8% was influenced by other variables not examined in this study. Because this study uses only two variables, this can be a weakness of the study. Therefore, it is recommended for further researchers to use other variables outside the study that affect job satisfaction by 46.8%
PENGARUH PENAMBAHAN SERAT POLYPROPYLENE TERHADAP KUAT TEKAN FOAM CONCRETE
Authors: Irawan Teddy , Purwanto Herry
Published: December 2022

Lightweight concrete has a specific gravity of 400 - 1,600 kg/m3 so it has a lower weight than normalconcrete. One type of lightweight concrete is foam concrete which is formed by adding air to the concretemixture. The compressive strength of foam concrete is still very low. With the addition of polypropylenefibers can increase the compressive strength of the concrete. The value of the compressive strength offoam concrete with a mixture of 0% polypropylene fiber shows a value of 2.85 MPa. The addition of 0.2%fiber showed a value of 7.77 MPa. The percentage of 0.4% polyoropylene fiber has a compressivestrength of 8.38 MPa.
ANALISA CAMPURAN BOTTOM ASH SEBAGAI BAHAN CAMPURAN AGREGAT HALUS DALAM PEMBUATAN BETON RINGAN
Authors: Septriansyah Verinazul , Umari Zuul Fitriana
Published: December 2022

As a city develops, the demand for buildings increases. The implementation of construction increasinglyrequires very high costs due to rising prices and reduced raw materials. Utilization of Bottom Ash as amixture for making concrete has properties and shapes such as fine aggregate. Lightweight concrete is aspecial type of concrete designed for specific purposes. It generally has a density of less than 1900 kg/m3with a compressive strength of around 20 N/mm2. The purpose of using this Bottom Ash mixture isexpected to reduce the weight of concrete without reducing the compressive strength of the concrete. Thepercentage Bottom Ash mixture used was 10%, 20%, 30%, 40% and 50%. The results of the analysisshow that by using a mixture of 50% Bottom Ash, the specific gravity obtained reaches 1,738 kg/m3 with acompressive strength of 18.73 MPa while the maximum compressive strength is found in a 30% BottomAsh mixture with a specific gravity of 1,994 kg/m3 with a compressive strength of 39.12 MPa. From theabove analysis, it can be concluded that the more Bottom Ash used can reduce the specific gravity andstrength of the concrete. Meanwhile, the use of 30% Bottom Ash can increase the compressive strengthcompared to without using Bottom Ash by 29.53 MPa with a specific gravity of 2162 kg/m3.
SISTEM INFORMASI GEOGRAFIS UNTUK PEMETAAN KONDISI JALAN DI TALANG KELAPA KABUPATEN BANYUASIN
Authors: Praditya Norca , Rahmadona Efrilia , Amalia Kiki Rizky
Published: December 2022

Banyuasin Regency is one of the regencies located in South Sumatra Province has a fairly extensive roadnetwork and is a cross-city link. The problem faced is that many roads are damaged, and inadequatereporting systems result in slow repairs. Therefore, a better road condition reporting system is needed, sothat the priority of handling road conditions is right on target. integrated mapping of the city's roadnetwork by utilizing the Geographic Information System as a solution to solving these problems. Thisresearch was conducted by collecting road network data and road condition surveys using the SurfaceDistress Index (SDI) method on road sections in Talang Kelapa along 142.7 km, after completing roadcondition data then created a database of all road condition information with the GIS application. Basedon the analysis obtained SDI value parameters from a total of 142.7 km of road sections in TalangKelapa, Banyuasin Regency, there are 46.8 km (32.8%) of road conditions in the "Good" category, roadsections of 31.4 km (32%) road conditions in the "Moderate" category, road sections of 35.7 Km(25.02%) in "Lightly Damaged" condition and 28.8 Km of road sections (20.18%) of "SeverelyDamaged" road conditions.
OPTIMALISASI BIAYA PELAKSANAAN PEMBANGUNAN ADMINISTRATION BUILDING MENGGUNAKAN METODE VALUE ENGINEERING
Authors: Azhari Faiz Muhammad , Putro Dita Riyanto , Mustofa Imam , Siswanto Eko , Setianto Poernomo Yosef Cahyo , Pratama Surya
Published: December 2022

Value Engineering is a multidisciplinary-based systematic approach that is carried out creatively,innovatively and systematically to find a functional balance between cost, reliability and performance toachieve the concept of value for money. In value engineering there are six stages. The information stagecarried out 2 analyzes, namely cost breakdown and Pareto diagram analysis, resulting in the largestwork being owned by concrete work with a weight of 37% and a weight of 28% of floor slab work fromthe total concrete work. The function analysis stage produces 1 primary function and 4 secondaryfunctions. The creative stage produces 3 creative ideas, namely the Conventional Method (PA-1),Floordeck and Wiremesh Method (PA-2), and Hollow Core Slab Method (PA-3). The evaluation stageresulted in 2 creative ideas that passed. In the development stage, several calculations are carried outthat support all creative ideas. In the evaluation criteria stage, each alternative choice is assessed withthe help of the Expert Choice application, resulting in a total PA-2 value of 20% greater than PA-1. Thecalculation of the floor slab design results in the serviceability of PA-2 being 12.67% higher than that ofPA-1. PA-1's NPV is 5% greater than PA-2's. The PA-2 index value is 2.17 smaller than PA-1. The use ofPA-2 can save RAB of IDR 101,372,430.00 or 5%.
The Process of Globalization from the Point of View of Synergetic Patterns
Authors: Tuzov V. V.
Published: December 2022

Introduction. The article examines the process of globalization through the prism of synergetics. The urgency of the problem of globalization is beyond doubt, it is enough just to turn to the news channels. The purpose of the work is to show the inconsistency of globalization promoted by Western countries, because it contradicts the laws that determine the process of self-organization of open nonequilibrium systems.

Methodology and sources. The article applies the laws of dialectics and the theory of selforganization. The research sources used works on the problems of globalism (I. Wallerstein, S.P. Lapaev, I.F. Kefeli, etc.), the laws of the development of the historical process  (S.D. Bodrunov, V.V. Tuzov), the laws of the processes of self-organization of open nonequilibrium systems (I. Prigozhin, G. Haken, E.N. Knyazeva and S.P. Kurdyumov and etc.).

Results and discussion. The author comes to the conclusion that it is impossible to realize the process of globalization in the form that the United States and its allies are trying to implement, because this contradicts both the laws of the historical process and the laws of self-organization that the modern stage of development of society obeys. It is impossible to unite countries with different cultures, religions, different economic levels of development, etc. on equal terms, because from the point of view of synergetics it is impossible for systems that exist in a different “tempworld”. There may be possible subordination and exploitation, but not partnership. The unification of all countries around one center also contradicts economic laws, because competition and the development of a market economy will disappear. Moreover, it contradicts the laws of self-organization. A system striving for expansion contains within itself its opposite, which is the desire for dissipation (dispersion).

Conclusion. The author of the article concludes that globalization in the form in which it is carried out by Western countries, since it contradicts the laws of the market economy and the laws of self-organization, is possible only under pressure. The end of forceful coercion triggers the dissipation mechanism, which leads to the degradation of the system and its simplification.
The motivation and consumer preferences in medical tourism
Authors: Ananchenkova P. I. , Shegai M. M.
Published: December 2022

The article considers issues reflecting characteristics of motivation of medical tourists to travel to country other than their residence placement to receive medical care. The most popular directions of medical tourism are identified as well as medical services for which travels are made.
The gender and age characteristics of general practitioners in Moscow
Authors: Volnuhin A. V. , Samokhina E. O. , Andrievsky M. V. , Zaugol'nikova T. V , Chegaeva T. V. , Reze A. G. , Gertsog A. A. , Morozova T. E.
Published: December 2022

The feminization and middle age decreasing in general practitioner profession is a worldwide trend.Purpose of the study is to explore gender and age structure, professional characteristics of general practitioners in Moscow.The retrospective analysis of personal records of students of the Chair of General Medical Practice of the Institute of Professional Education of the The I. M. Sechenov First Moscow State Medical University trained from 2016 to 2020 (n = 400).It is established that women made 80.5% out of them. The average age was 50.7 ± 0.7 years; average general professional experience - 28.8 ± 0.8 years, in general medical practice - 9.7 ± 0.3 years. The internship/residency in therapy was graduated by 84.2% of students. Up to 96.3% worked in state medical organizations. The majority (97.0%) had no academic degree. Indicators with positive dynamics: share of women, physicians with internship/residency in therapy, employees of state medical organizations, without an academic degree. Indicators with negative dynamics: age, professional experience. Differences between men and women were established for residency and professional experience in general medical practice.The average social and professional portrait of general practitioner in Moscow: woman 50 years old graduated internship/residency in therapy, professional experience of more than 20 years, with professional retraining about 10 years ago, working in state medical organization, no academic degree.The activities were proposed considering gender and age specifics, professional characteristics of general practitioners, directed to increasing efficiency and comfort of training.
The satisfaction of patients and medical organization workers as one of indicators of effective interaction of participants of treatment-and-diagnostic process
Authors: Timurzieva A. B.
Published: December 2022

The article is devoted to main aspects of interaction of parties of treatment and diagnostic process and the perspectives of development of key indicators of its effectiveness. The main issues of relationship between quality of medical care and effective interaction of parties of treatment and diagnostic process are marked. The issues of satisfaction of patients, medical and non-medical workers of medical organizations, main motivating and demotivating factors during medical activity, models of relationship between medical workers and patients are described. The main perspectives of developing criteria targeted to effective interaction of all parties of treatment and diagnostic process in professional activities of medical and non-medical workers and improving quality of medical care of population are presented. The most important criteria of satisfaction of patients, medical and non-medical workers of medical organization during medical activities are analyzed. The main problems affecting quality of medical care from the side of participants in treatment and diagnostic process are considered. Some preliminary data of development of key indicators of effective interaction between parties of treatment and diagnostic process are presented. The development of these indicators in perspective can result in new approach in health care, targeted to improving quality of medical care and establishing most comfortable environment for workers of medical organization.
The problems of research financing in medicine: economical aspect
Authors: Tishutin A. A.
Published: December 2022

The article considers problems of financing research studies in medicine at modern stage of allocation of financial support of scientific directions. In last several years situation in the Russian science cardinally changed and process of shaping new system of management of science. The sensitive issue of national science remains problem of inadequate financing. The actuality of the study is determined by putting into effect the most severe sanctions from some states. Therefore, to achieve import independence today the priority directions are determined, and among them special place occupies medicine. During last decade, the investments in medical science increased 4.3 times. The onset of coronavirus infection clearly demonstrated existing problems in health care systems of all countries hereby process of digitization. In crisis conditions, fast and qualitative medical data exchange became a priority direction formed among participants of health care system awareness about necessity to head jointly to intelligent medicine meeting actual challenges.The purpose of the study is to investigate problems of financing scientific research in medicine. The study results permit to conclude that further progressing development of scientific research in medicine depends on financial support so it is necessary to engage and private investments into development of science in The Russian Federation.
Checklist of terrestrial beetles (Arthropoda: Insecta: Coleoptera) associated with agroecosystems in North-West Morocco
Authors: El Harche H. , Chavanon G. , Dahmani J. , Fadli M.
Published: December 2022

Beetles play an important role in agrosystems as bioindicators of quality, ecology, conservation, and soil characteristics. The Coleoptera of agrosystems in Morocco are poorly known. To contribute to the knowledge of beetles in this country we conducted a survey in a region of North-West Morocco between 2019 and 2020. The inventory was carried out using several types of traps. We identified 54 species belonging to 14 families, 20 subfamilies, and 18 tribes. The most abundant family was Carabidae, with 24 species, and the most dominant subfamily was Harpalinae, with 19 species. This work provides the first checklist of coleopteran fauna associated with agrosystems in North-West Morocco. We provide an identification key of subfamily and tribe, and update information on the distribution of the beetles identified.

Checklist dataset published through GBIF (Doi: 10.15470/ohymvn)
Looking Through Different Points of Views: Characteristics of a Good Mathematics Teacher
Authors: KHOO NUR AINI KHOO BINTI AHMAD FUAD
Published: December 2022

Mathematics is essentially used in many fields. Due to its importance, nurturing mathematical knowledge in students is deemed crucial in education now. Providing a good mathematics teacher is an important factor in developing students' mathematical skills and knowledge. This study aims to explore the characteristics of a good mathematics teacher from the points of view of teachers and students. In order to investigate the characteristics, this study employed a qualitative method using semi-structured interviews and focus group sessions involving twenty-three informants consisting of mathematics teachers and students. The informants were purposively selected from several schools in the southern region of Malaysia. Once the data were collected, they were qualitatively analysed using thematic analysis. Based on the findings, there are two main perspectives on the characteristics of a good mathematics teacher based on the teacher's and student's perspectives. Teachers define the characteristic of a good mathematics teacher from the aspects of the teacher's knowledge and experience. In comparison, students viewed it from the aspects of teachers' personalities, teaching styles, and delivery instructions. So, in conclusion, mathematics teachers and students have different points of view when describing the characteristics of a good mathematics teacher.
Literature Review : Pengaruh Edukasi Gizi Melalui Media KIE Gizi Terhadap Pengetahuan Mengenai Konsumsi Sayur dan Buah Pada Remaja
Authors: Khairunnisa Dhea Yohana , Kurniasari Ratih
Published: December 2022

Berdasarkan Riset Kesehatan Dasar, diketahui bahwa penduduk Indonesia kurang mengonsumsi sayur  dan buah dari 5 porsi per harinya. Di Indonesia, diketahui juga bahwa sebanyak  98,4%  remaja di Indonesia kurang mengonsumsi sayur dan buah. Kurangnya konsumsi sayur dan buah ini disebabkan oleh beberapa faktor, salah satunya adalah kurangnya pengetahuan. Oleh karena itu, perlu adanya intervensi berupa edukasi gizi yang diberikan kepada masyarakat Indonesia. Edukasi tentang gizi dan kesehatan dapat dilakukan menggunakan beberapa media komunikasi, informasi, dan edukasi (KIE) gizi, seperti media ceramah, games, cakram gizi, leaflet, poster, podcaast, video animasi, buku saku, flipchart, dll. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh edukasi gizi melalui media KIE gizi terhadap pengetahuan mengenai konsumsi sayur dan buah pada remaja. Penelitian ini menggunakan jenis penelitian kualitatif, dengan metode pengumpulan data melalui pencarian jurnal pada database Sicience and Technology Index (SINTA) dan Google Scholar. Hasil dari literature review ini menyatakan bahwa media KIE gizi mempunyai pengaruh terhadap pengetahuan tentang konsumsi sayur dan buah pada remaja.

 