bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Kompensasi Terhadap Kinerja Pegawai Dengan Motivasi Sebagai Variabel Mediasi Pada PT. Pos Indonesia Kantor Pos Palangka Raya
Authors: Ervina Ervina , Ferdinand Ferdinand , Meitiana Meitiana
Published: June 2023

This study aims to explain the effect of compensation on employee performance with motivation as a mediating variable at PT. Pos Indonesia Palangka Raya Post Office. The type of research used in this study is associative using quantitative analysis methods. The population in this study were all employees of PT. Pos Indonesia Palangka Raya Post Office. The sample for this study was selected using the Census Sampling technique. The number of samples was 46 people. The research data was collected by statistical data analysis using descriptive analysis and inferential statistical analysis of the Structural Equation Modeling (SEM) model using the Smart Partial Least Squere (SmartPLS) approach as well as validity and reliability tests, the software used was SmartPLS 3.0. The results of the study show that 1) Compensation received by employees affects employee performance. 2) compensation received by employees has a significant positive impact on employee motivation. 3) Motivation has no effect on employee performance at the Palangka Raya Post Office. 4) Motivation is unable to act as a mediating variable for the effect of compensation on employee performance.
Splenic infarction in massive splenomegaly secondary to chronic myeloid leukemia.
Authors: Avilez Arias JM , Cabrera Valdéz JH , Garibay Alvarez J , Esquer García MF , Burgos Borbón DH , Acosta García KA
Published: June 2023

Introducción: Las enfermedades que ocasionan esplenomegalia, incrementan el riesgo de infarto esplénico. Las dos principales causas de infarto esplénico, son las enfermedades tromboembólicos, y las enfermedades hematológicos infiltrativas.

Caso clínico: Femenino de 35 años de edad, con diagnóstico de Leucemia mieloide crónica, ingresa al servicio de urgencias por dolor abdominal de inicio súbito, se documenta en estudio tomográfico esplenomegalia masiva, y zona de infarto esplénico en polo superior, cursa durante estancia intrahospitalaria sin mejoría clínica a pesar de tratamiento médico, tras deterioro clínico, y de estado hemodinámico se decide realizar esplenectomía de emergencia.

Discusión:Las manifestaciones clínicas de infarto esplénico son variables, por lo que resultan útiles estudio de imagen, dentro de sus complicaciones puede agregarse la presencia de absceso como en el presente caso, al añadirse este tipo de entidades puede requerirse evento quirúrgico de urgencia.

Conclusión: Identificar pacientes con enfermedades hematológicas, con manifestaciones a nivel esplénico que pueden traducirse como esplenomegalia o esplenomegalia masiva, y sus posibles complicaciones como resulta el infarto esplénico, permitirá orientar el abordaje diagnóstico en el escenario de dolor abdominal.
Business Responses Towards Corporate Social Responsibility and Sustainable Development Goals During Covid-19 Pandemic
Authors: Madaan Geetika , Kaur Maninder , Gowda Kavitha R , Gujrati Rashmi , Uygun Hayri
Published: June 2023

Objective: In India, incorporating structural transformation in corporate social responsibility for achieving sustainable development goals in the Covid-19 Pandemic has become a priority. Therefore, the present article aims to review the corporate social responsibility activities conducted by Nine Indian companies (two public sector organizations and seven private sector organizations) towards attaining Sustainable Development Goals in times of global pandemic.

To explore CSR activities performed by the Indian companies (both public and private) in recent times of crisis of covid-19.

To assess the impact of Covid-19 on the economic, social, and technological environment of Indian Companies in recent times.

 

Method: For our research, we chose India since it was one of the earliest and worst-hit countries during the recent pandemic. Even though huge Asian corporations are a minority, It is a good fit for our study goal for various reasons. Less and medium-sized businesses, on the other hand, have a far smaller influence on society, Due to their prominence in the press, clients or consumers are more likely to provide feedback if they are proactive. As a second point, major companies have greater resources (e.g., human and financial) to spend on reporting and distributing social and environmental information. The existing study applied bibliometric analysis in the exploratory research. The data collection done through secondary sources in which articles extracted with the use of PRISMA flowchart.

 

Result: The study's findings state that most selected Indian Companies spend Rupees 50-1000 crores as corporate social responsibility activities and contribute to the Pradhan Mantri Relief Fund as a business response to face challenges in times of pandemic. Moreover, private companies spend more on CSR activities than public companies in India. The study provides suggestions to the government to make the corporate social responsibility activities compulsory for all the profitable companies so that country can maintain a corporate pool of contingent funds that can utilize to meet such times of critical circumstances.

 

Conclusion: Companies are taking steps to ensure the safety and protection of their personnel. This has been reflected in corporate social responsibility initiatives as well. Corporate social responsibility efforts must include pushing for and facilitating access to health insurance programmes and other equity indicators as a result.
Clauson–Kaas pyrrole synthesis using diverse catalysts: a transition from conventional to greener approach
Authors: Singh Dileep Kumar , Kumar Rajesh
Published: June 2023

Pyrrole is an important aromatic heterocyclic scaffold found in many natural products and predominantly used in pharmaceuticals. Continuous efforts are being made to design and synthesize various pyrrole derivatives using different synthetic procedures. Among them, the Clauson–Kaas reaction is a very old and well-known method for synthesizing a large number of N-substituted pyrroles. In recent years, due to global warming and environmental concern, research laboratories and pharmaceutical industries around the world are searching for more environmentally friendly reaction conditions for synthesizing compounds. As a result, this review describes the use of various eco-friendly greener protocols to synthesize N-substituted pyrroles. This synthesis involves the reaction of various aliphatic/aromatic primary amines, and sulfonyl primary amines with 2,5-dimethoxytetrahydrofuran in the presence of numerous acid catalysts and transition metal catalysts. The goal of this review is to summarize the synthesis of various N-substituted pyrrole derivatives using a modified Clauson–Kaas reaction under diverse conventional and greener reaction conditions.
Reading the Spiritual Message Behind Javanese Traditional Wedding Procession
Authors: Irsyada Abdulloh Eizzi
Published: June 2023

This research using qualitative research methods and a descriptive and semotic approach aims to analyze the values and symbolism contained in Javanese traditional wedding processions. With the development of technology and the influence of globalization, the younger generation in Java, Indonesia, tend to leave the traditional Javanese procession in their marriage. This threatens the sustainability and preservation of the cultural heritage. Data was collected through direct observation, interviews and literature study. The series of procedures for traditional Javanese wedding processions and the values contained in each procession are analyzed in depth. The results of the study show that each Javanese traditional wedding procession contains various symbols that reflect the social, religious and cultural values inherent in Javanese society. These symbols have a deep philosophical meaning and are a reflection of the relationship between the bride and groom, family and society. Although it is not an obligation, the use of Javanese traditional ritual processions in marriage for couples with Javanese ethnicity does not have a significant effect on the wedding ceremony or the days afterward, but some couples choose to do it as a form of respect for their ancestors and inherited values, and hope that life their marriage was filled with goodness and blessings passed down by the ancestors.
Kajian Penentuan Kapasitas Pembangkit Listrik Tenaga Surya (PLTS) pada Laboratorium Fakultas Teknik UMSU
Authors: Muhammad Fitra Zambak  , Kurniawan Lubis  , Ade Faisal
Published: June 2023

Untuk memasang sebuah pembangkit listrik tenaga surya (PLTS) tentunya kita harus terlebih dahulu menentukan kapasitas PLTS yang ingin kita gunakan. Hal ini dibutuhkan agar PLTS yang kita pasang sanggup atau memiliki daya yang cukup untuk mensuplai beban yang kita inginkan. Hal ini seringkali tidak diperhatikan sehingga menyebabkan PLTS yang dipasang tidak sanggup mensuplai beban secara maksimal ataupun PLTS yang ada jauh lebih besar dibanding beban yang digunakan, hal ini menyebabkan kerugian karena mengingat harga dari PLTS juga relatif mahal. Untuk mempermudah kita juga dapat menggunakan software PVSyst untuk menentukan kapasitas solar cell yang dibutuhkan beban. Tingkat intensitas cahaya matahari pada lokasi penelitian menurut aplikasi PVSyst adalah sebesar 4.5 kWh/m2/hari. Beban total pada laboratorium fakultas teknik setiap harinya adalah sebesar 36 kWh/m2. Untuk membebani total beban yang ada pada laboratorium fakultas teknik UMSU maka diperlukan PLTS dengan kapasitas 13,44 kWp yang terdiri dari 40 Unit panel surya berkapasitas 280 wp dengan bateri 100 ah sebanyak 40 unit. Untuk merealisasikan PLTS yang telah direncanakan, dapat dipasang pada roof top laboratorium fakultas teknik. Menurut software HelioScope rooftop lokasi penelitian dapat menampung PLTS hingga 99 kWp dengan luas area 1000m2
Analisis Strategi Pengembangan Industri Kreatif Digital di Kota Balikpapan
Authors: Fajrian Fitrah , Muhamad Imron Zamzani  , Afrizal Fandi
Published: June 2023

Industri kreatif adalah suatu proses ekonomi yang mana termasuk di dalamnya proses produksi dan distribusi yang membutuhkan gagasan atau ide kreatif. Kota Balikpapan memiliki potensi di bidang ekonomi kreatif karena Kota Balikpapan disebut sebagai kota dengan inovasi berkelanjutan atau sustainable innovation. Berdasarkan hasil observasi dan wawancara di dapatkan beberapa permasalahan yang terjadi di industri kreatif digital kota Balikpapan. Permasalahan yang dihadapi antara lain yaitu belum terjalin dengan baik hubungan bisnis antara industri kreatif digital dengan industri non kreatif. Kurangnya apresiasi dari industri non kreatif kepada industri kreatif digital, belum terbentuknya ekosistem yang baik di kota Balikpapan, sehingga terjadinya diskriminasi terhadap para pekerja lokal. Solusi yang di dapatkan untuk permasalahan pada penelitian kali ini adalah perencanaan strategi pengembangan industri kreatif digital. Metode yang digunakan untuk menumbuhkan industri digital kreatif antara lain analisis SWOT dan QSPM. Hasil kajian menunjukkan bahwa industri kreatif Balikpapan terletak di Kuadran II dengan nilai IFE dan EFE masing-masing sebesar 2,756 dan 3,025. Pada kuadran II tersebut  artinya industri kreatif disarankan  Membuat tim research and development untuk melakukan riset pasar dan Mempertahankan kualitas produk serta dapat meningkatkan kepuasan pelanggan.

Kata kunci: Balikpapan, Ekonomi kreatif, industri kreatif digital, SWOT, QSPM
Sustainability of the banking system and the role of monetary policy: Financial liberation in Iraq
Authors: H. Khalaf Hameed , Abduljabbar Hussein Al-Azzawi Alaa , Ezzeldien Taha Ziad
Published: June 2023

The Iraqi economy is rentier and heavily reliant on oil revenues because oil prices are volatile and subject to supply and demand on the global market, causing money supply instability. A prudent monetary policy must be developed in the face of macroeconomic policies, even partial ones, in order to reduce inflationary pressures and achieve both internal and external monetary stability. Iraq also lacks a clear economic strategy and the country's economy is still susceptible to decision-makers’ whims and the demands of international organizations. It is, therefore, essential to discuss monetary policy's fundamental and successful role in managing the sustainability of the economy through its solid and practical tools. Iraq's monetary authorities scrambled to ensure the nation's economic stability through the use of monetary tools as the country's economic system started to shift towards a market economy in 2003, depending on supply and demand forces to manage the economy. The Central Bank uses tools of monetary policy, which are based on keeping an eye on the money supply and pursuing long-term objectives, to achieve the policy objective of economic stability. The goals of economic stability, according to economist Nicolas Kaldor, are to boost economic growth, achieve full employment, establish external balance, and fight inflation. This study examined the hypothesis that, between 1990 and 2020, monetary policy contributed to Iraq's economic stability using co-integration tests, fully-corrected least-squares techniques, and dynamic standard least-squares. The positive effects of monetary policy on economic variables, particularly economic stability, were demonstrated by the influence of foreign currency reserves on an improved current account balance, price stability, and a relative decline in unemployment rates. The GDP and the current account balance positively affected economic stability indicators, while the money supply adversely impacted most of them. To improve the balance of payments and encourage economic growth, investments should be made in the manufacturing and agricultural sectors.
Array Antenna Pattern Synthesis using Improved Particle Swarm Optimization (IPSO) Algorithm
Authors: Bera Rajesh , Cheruvu Sabiha , Kundu Krishanu , Upadhyay Prashant , Mandal Durbadal
Published: June 2023

Antenna arrays are used in many different systems, including radar, military systems, and wireless communications. The design of the antenna array has a significant impact on how well the communication system performs. The large number of pieces and the large sidelobe levels provide the biggest design hurdles for such arrays. The antenna arrays have recently been heavily thinned using optimization approaches that take advantage of evolutionary algorithms in order to lower power consumption and enhance the radiation pattern by lowering sidelobe levels. A global optimum for this kind of algorithm is not guaranteed, though, because of the stochastic nature of the resolution techniques. This work characterizes the optimal pattern synthesis of a linear array antenna using the Improved Particle Swarm Optimization (IPSO) algorithm. The main aim is to obtain a low Side Lobe Level (SLL) that avoids interference and a narrow beam width for acquiring high directivity to obtain the optimal solution established on the action of the swarm that adopts the fitness function. To achieve these targets, we analyze the optimization of the excitation amplitude and inter-element spacing of the array. In this article, we have presented the optimal power pattern obtained by two different types of excitation amplitude distributions for both uniformly spaced linear arrays and non-uniformly spaced linear arrays. In the first case of amplitude distribution, namely, non-uniform distribution of excitation amplitude, synthesis of the array pattern for three different values of inter-element spacing as well as optimized spacing are presented for different array sizes. In the second case, optimal thinning of a uniformly spaced array as well as a non-uniformly spaced (optimized) array has been presented. The IPSO algorithm provides a radiation pattern that is used to determine the set of antenna array parameters. The design of an antenna array using the IPSO algorithm gives significant enhancements when compared with a uniformly excited and uniformly spaced array. The flexibility as well as ease of implementation of the IPSO algorithm are evident from this analysis, showing the algorithm’s usefulness in electromagnetic optimization problems.
Parameterization of All Disturbance Observers for Periodic Input Disturbances
Authors: Phukapak Sorawin , Koyama Daisuke , Hashikura Kotaro , Kama Md , Murakami Iwanori , Yamada Kou
Published: June 2023

In this paper, we examine the parameterizations of all disturbance observers and all linear functional disturbance observers for periodic input disturbances. The plant disturbance observers have been used to estimate the disturbance in the plant. Several papers on design methods for disturbance observers have been published. Recently, the parameterization of all dis- turbance observers and all linear functional disturbance observers for plants with any input disturbance was clarified. However, no paper examines the parameteriza- tion of all disturbance observers or all linear functional disturbances for periodic input disturbances. In this paper, we propose parameterizations of all disturbance observers and all linear functional disturbance observers for periodic input disturbances.
Comparison of Two Fractional-Order High-Order SMC Techniques for DFIG-Based Wind Turbines: Theory and Simulation Results
Authors: Almakki Ali , Mazalov Andrey , Benbouhenni Habib , Bizon Nicu
Published: June 2023

Two new nonlinear techniques are proposed in this study for improving the performance and efficiency of the doubly-fed induction generator (DFIG)-based wind turbine systems. Direct torque control (DTC) is among the most widely used strategies for controlling DFIGs due to its many advantages, such as robustness, simplicity, and fast response dynamics. However, this control causes big ripples in both torque and flux. Furthermore, it has significant total harmonic distortion (THD). Several solutions are proposed to overcome these problems, including nonlinear techniques and intelligent strategies such as genetic algorithms. In this work, two different controllers are proposed to improve the performance of the DTC technique. Firstly, the second-order continuous sliding mode (SOCSM) based on fractional-order (FO) control, and secondly, the super twisting algorithm (STA) based on the FO technique. The biggest advantages of the proposed strategies are their durability and ease of execution. Based on the proposed controls, the DTC strategy can greatly improve generator performance in different operating conditions. This paper also provides a comparative analysis of DTC-FOSOCSMC, DTC, and DTC-FOSTA in terms of reference tracking, robustness, chattering reduction, and computational complexity, using mathematical theory and simulation carried out in Matlab/Simulink using a 1.5 MW DFIG-based wind turbine. The simulation results demonstrate the effectiveness and high performance of the proposed DTC techniques.
Optimization of a Robust Modified Smith Predictor Control Strategy for Integrating Processes with Dead Time
Authors: Laware A. R. , Bandal V. S. , Talange D. B.
Published: June 2023

The presence of an integrator and dead time in physical processes reduces stability and robustness. It limits the response time of a system. Integrating plus dead time (IPDT) processes provide oscillatory and slow response if the parameters of a system are not tuned properly despite dead time compensators (DTCs) being used. To overcome these shortcomings, the Smith predictor based sliding-mode control (SP-SMC) strategy using the Jaya optimization technique for IPDT processes is proposed in this study. For the selected populations, the cost function and best controller parameters are evaluated. The proposed strategy is compared with the typical Smith predictor-based proportional, integral and derivative (SP-PID), and conventional SP-SMC design methods. To evaluate the performance, integrating first-order with dead time (IFODT) process models with different controllability relationships (CR) is considered. Robustness analysis of the controller is carried out in this study for 30% parametric uncertainties and bounded disturbances. The simulation tests on a laboratory process (level) control system reveal the supremacy of the Jaya optimization algorithm over prevalent control strategies. Compared to SP-PID and SP-SMC, the proposed design method shows an improvement of 33.07% and 12.58% in settling time and an improvement of 19.73% and 22.93% in rise time with 0% overshoot, respectively. The applied setup elicits better multi-level set point tracking and disturbance rejection capabilities with the step input. Besides, the proposed algorithm shows better closed-loop performance for numerical simulations of Models 1 and 2.
Improved Feed-Forward Backpropagation Neural Network Based on Marine Predators Algorithm for Tuning Automatic Voltage Regulator
Authors: Aribowo Widi , Rahmadian Reza , Widyartono Mahendra , Wardani Ayusta , Prapanca Aditya
Published: June 2023

This research will discuss the application of an automatic voltage regulator based on the feed-forward back propagation neural network (FFBNN), which is enhanced by the marine predator algorithm (MPA). The marine predators algorithm is a method that adopts marine ecosystem life that is identified in the relationship between predators and prey. MPA is adopting a natural approach to arranging the best food search strategies and finding the latest strategy. The focus of the research is on the performance of speed and rotor angle. The performance of the proposed method will be tested using hidden layer variations. In addition, the proposed method will be compared with the feed-forward backpropagation neural network (FFBNN), cascade-forward backpropagation neural network (CFBNN), Elman recurrent neural network (E-RNN), and Focused Time Delay neural network (FTDNN). The speed and rotor angle of the proposed method have good values. The MPA-FFBNN results are not much different from other methods. The experimental results show that the performance of the proposed method has promising results.
INVESTIGATION OF THE STRENGTH BEHAVIOUR OF A FUSELAGE STRUCTURE PLACED IN A LINEARLY EXPANDING WING WITH CIRCULAR ENDS IN CROSS-SECTION
Authors: YAVUZ Mustafa Murat , ÇİNER Beril
Published: June 2023

In this study, a structurally different drop wing geometry was modelled and its mechanical behaviour was investigated with computer aided analysis software within the finite element method. The tip of the drop wing geometry consists of one large and the other small circles. There were linear line profiles between them. In order to prevent collapse in the wing geometry modelled with the plate structure, a profile in the rigid body structure was created and its effect was investigated. The effect of the wing length and the plate thickness covering the wing was examined and shown in the results. It was defined as the profile material for the steel blade and for the standard features. In the static examinations carried out under the pressure loading applied on the wing, it was determined that the vertical deformation caused by the wing length was not linear, and the stresses that occur with the increasing wing plate thickness form a decreasing function. The stresses that occur in the inside of the wing support were intense in the support area, but also in the bending areas.
COLD PRESSED PURE ALUMINUM POWDERS SINTERING WITH ULTRA HIGH FREQUENCY INDUCTION
Authors: ÇUBUK Hıdır Sercan , ERTAŞ Tural Ege , ÇAVDAR Uğur
Published: June 2023

Metals both have good mechanical and electrical qualities, besides, they are also created as light as possible by using recent manufacturing techniques. In that scope, this study aims to use an ultra-high frequency sintering technique to sinter aluminum powders of 15 µm in size. A mold and 30 bar pressure were used to compress the powders before sintering. For the sintering temperature optimization, 3 experiments were conducted in the induction system at 600°C, 650°C, and 700°C temperatures. Sintering conditions were determined at different time intervals of 3 minutes, 5 minutes, and 10 minutes to find an optimum value for sintering time. Finally, furnace sintering was used for 1 hour at these temperatures. With 2 different sintering, 3 different temperatures, and 3 different time parameters, size, density, porosity, and hardness values were obtained. Obtained results were compared among themselves.
Optical Forbidden Emission Line Spectro-astrometry of T CrA: Evidence for a Multiple System and Multiple Jets*
Authors: Whelan E. T. , Murphy A. , Pascucci I.
Published: June 2023

Spectro-astrometry is applied to echelle spectra of the young intermediate-mass star T CrA. The aim is to better understand the origin of the [O i] and [S ii] emission from T CrA and further explore the usefulness of spectro-astrometry in the search for a reliable tracer of MHD disk winds. The analysis reveals a small-scale curved jet in an east–west direction and inclined parallel to the plane of the sky. It is the inclination of this jet that led to the classification of the forbidden emission lines as a low-velocity component. Thus, spectro-astrometry highlights here that for close to edge-on disks spatial information is necessary. The position angle of the jet is not perpendicular to the position angle of the accretion disk nor does it agree with older observations of outflows likely driven by T CrA. The mass outflow rate of 5–10 × 10−8
M
⊙ yr−1 is within the range for intermediate-mass stars. We conclude that more than one outflow is driven by the T CrA system and that the curvature seen in the first detection of an outflow from T CrA and in the data presented here is likely due to the multiplicity of the system.
Temporal Variation of the Rotation in the Solar Transition Region
Authors: Zhang Xiaojuan , Deng Linhua , Fei Yu , Li Chun , Tian Xinan
Published: June 2023

The temporal variations of solar rotation in the photosphere, chromosphere, and corona have been widely investigated, whereas the rotation of the solar transition region is rarely studied. Here, we perform a primary study about the long-term variation of the rotation in the transition region using Lyα irradiance from 1947 February 14 to 2023 February 20. Correlation techniques are used, and the main results are as follows. (1) The sidereal rotation period of the solar transition region varies between 22.24 and 31.49 days, and the mean sidereal rotation period is 25.50 days for the studied time interval 1947–2022. (2) The rotation period of the transition region exhibits a clear downward trend during 1947–2022, which might be caused by the reduced heliospheric pressure and the weaker solar global magnetic fields. (3) Significant periodic signal of the quasi-Schwabe cycle is found in the rotation periods of the transition region. (4) The cross-correlation between the rotation periods of the solar transition region and sunspot activity corroborates a strong correlation with the Schwabe cycle. Possible mechanisms responsible for these results are discussed.
First Detection of a Linear Structure in the Midplane of the Young HH 211 Protostellar Disk: A Spiral Arm?
Authors: Lee Chin-Fei , Jhan Kai-Syun , Moraghan Anthony
Published: June 2023

Spiral structures have been detected in evolved protostellar disks, driving the disk accretion toward the central protostars to facilitate star formation. However, it is still unclear if these structures can form earlier in young protostellar disks. With the Atacama Large Millimeter/submillimeter Array, we have detected and spatially resolved a very young and nearly edge-on dusty disk with a radius of only ∼20 au in the HH 211 protostellar system at submillimeter wavelength. It is geometrically thick, indicating that the submillimeter-light-emitting dust grains have yet to settle to the midplane for planet formation. Intriguingly, it shows three bright linear structures parallel to the equatorial plane, resembling a three-layer pancake that has not been seen before. The top and bottom ones arise from the warm disk surfaces, unveiling the flared structure of the disk. More importantly, the middle one is in the dense midplane of the disk and can be modeled as a trailing spiral arm excited by disk gravity, as seen in evolved protostellar disks, supporting the presence of spiral structures in the very early phase for disk accretion.
OBILJEŽJA KORIŠTENJA SNAPCHATA KOD ZAGREBAČKIH SREDNJOŠKOLACA
Authors: Mandić Sabina
Published: June 2023

CHARACTERISTICS OF »SNAPCHAT« USE AMONG ZAGREB HIGH SCHOOL STUDENTS ABSTRACT In the last decade, social networks have become one of the most important »technological tools« in the lives of people around the world, used mainly by adolescents (especially girls). Currently, the most widely used ones are Snapchat, Instagram, TikTok and Facebook. This paper aims to explore the characteristics of Snapchat use among high school students in the City of Zagreb, mainly due to its great popularity, the amount of time spent on this social network, and possible psychosocial risks, mainly due to its great popularity, but also due to the lack of domestic literature in this field. A total of 825 students participated in the study (NB=404; NG=418; 3 students did not provide gender information), and the age range was from 14 to 20 years (Mage=16.65; SDage=1.208). The results show that over 80% of high school students use Snapchat, and the differences in frequency of use were found in terms of gender, age, i.e., grade, and type ofschool. Instagram, Snapchat and TikTok are the most popular social networks among Zagreb high school students, and the use of one of these networks is moderately related to the use of the others, so the resultsspeak offor a preferred and dominantsocial network that is used more often than others. In conclusion, no differences in the severity of Internet addiction were found in relation to the frequency of Snapchat use. The results obtained allow a better understanding of the characteristics of the use of thissocial network among high school students and are interpreted in the context of the current challenges of scientific research and the possibility of developing psychosocial interventions. Key words: Snapchat; social networks; adolescents; high school students; Internet addiction.
The Evolution and Reliability of Machine Learning Techniques for Oncology
Authors: Abu Owida Hamza , Moh'd Bashar  Al-haj , Turab Nidal , Al-Nabulsi Jamal , Abuowaida Suhaila
Published: June 2023

It is no secret that the rise of the Internet and other digital technologies has sparked renewed interest in AI-based techniques, especially those that fall under the umbrella of the subset of algorithms known as "Machine Learning" (ML).

These advancements in electronics have allowed us to comprehend the world beyond the bounds of human cognition. A high-dimensional dataset's complicated nature. Although these techniques have been regularly employed by the medical sciences, their adoption to enhance patient care has been a bit slow. The availability of curated diverse data sets for model development is all examples of the substantial hurdles that have delayed these efforts. The future clinical acceptance of each of these characteristics may be affected by a number of limiting conditions, such as the time and resources spent on data collection and model development, the cost of integration relative to the time and resources spent on translation, and the potential for patient damage. In order to preserve value and enhance medical care, the goal of this article is to evaluate all facets of the issue in light of the validity of using ML methods in cancer, to serve as a template for further research and the subfield of oncology that serves as a model for other parts of the discipline.
Sous couleur de jouer
Authors: Henriot Jacques
Published: June 2023

Sous couleur de jouer : la formule est de Claude Lévi-Strauss. Elle donne à croire que la conduite ludique dissimule sa véritable essence. Que fait celui dont on dit qu’il joue ?
Au départ de ce livre, il y a le refus de prendre le jeu pour quelque chose qui va de soi, pour une manière d’être et de faire immédiatement abordable et déchiffrable : l’intention de le considérer plutôt comme une attitude mentale, une aventure intérieure presque impossible à saisir, que l’on ne parvient à identifier, à désigner, à décrire qu’au moyen de mots. Nul ne se comprend, ne se fait comprendre qu’en passant par des façons de dire (et de penser) tirées de l’expérience commune.
La Psyché de Pierre Corneille, dans son trouble, découvre cette évidence :
Et je dirais que je vous aime,
Seigneur, si je savais ce que c’est que d’aimer.
Ainsi, le joueur ne peut dire qu’il joue, ne peut dire s’il joue – et d’abord ne peut jouer qu’à la condition de savoir ce que c’est que le jeu.
Rencontrée en cet étrange détour, l’idée de Jeu relève plus d’une approche anthropologique que d’une élucidation d’ordre psychologique. Quand on s’attache à traiter de l’indicible, ne convient-il pas, au moins pour commencer, de prêter attention à ce qui s’en dit ?

Publié initialement par José Corti en 1989, épuisé depuis plusieurs années, il était urgent de rééditer cet ouvrage fondamental de Jacques Henriot, permettant tout autant de penser le jeu que de critiquer des pensées trop rapides pour analyser ce qui fait jeu et, peut-être plus, le jouer.
Machine Learning-Based Approaches in the Detection of Suicide From Social Media Comments
Authors: Ghosh Dipanwita , Sing Mihir , Adhikary Arpan , Nayek Asit Kumar
Published: June 2023

Suicidal tendencies have increased today due to nuclear organization of families and rapid urbanization around the world. Loneliness, aggression, and fast-moving daily lives make the youths and the aged persons depressed. Most of the time, they are involved in mutual relationships on social media. Social media posts and chats, thus, become an important resource from where we can find one's mental illness level and suicidal tendances. The most-used keywords are taken from an open database and are analyzed. ML algorithms like random forest, support vector classifier, and KNN are used to train and predict a person's suicide attempt. Out of these algorithms, SVC produces greater accuracy. To generate more accuracy, word sets shall be robust.
IoT System for Crop Recommendation Based on Soil and Weather Patterns
Authors: Tiwari Harsh , Sahu Divya Rishi , Gupta Rajeev Kumar
Published: June 2023

Indian agriculture industry gives a significant rise to GDP and provides food and livelihood to a large portion of the whole global population. This demand is increasing rapidly by population growth; the world's population is projected to reach 9.7 billion by 2050. It shoots up pressure on farmers to uplift production and grow crops that are better suited to their local weather and soil conditions. Traditional methods of crop recommendation are often based on subjective assessments and can be inaccurate. However, to overcome these challenges, new technologies like IoT can help farmers to make better decisions and growth of the crop towards holistic rural development. IoT makes it possible to take better decisions on run time and interactively by combining the previous data, past experience of farmers, scientific methodologies, feedback, soil health, weather forecasting, etc. So, in this chapter the use of the IoT and sensors have been discussed with practicality to adopt IoT easily and effectively in the agriculture field.
AI-Based Plant Disease Detection and Classification Using Pretrained Models
Authors: Mehta Honey , Gupta Rajeev Kumar , Jain Arti , Bharti Santosh Kumar , Kunhare Nilesh
Published: June 2023

Plants growth is crucial to an agricultural industry, and to the economy of a nation. Consequently, taking care of plants is essential. Like humans, plants are susceptible to several bacterial, fungal, and viral diseases. To avoid the plants from being destroyed, prompt disease detection and treatment are crucial. The goal of this chapter is to introduce plant disease detection and classification using deep learning and transfer learning based pre-trained models. Using images of leaves, the models can identify several plant ailments. The models, namely- Convolutional Neural Network (CNN), MobileNet, and VGG16 are applied for plant disease identification. To train them, the PlantVillage dataset is used, and to enhance the sample size, the dataset is augmented. For experimentation purposes, images of both healthy and damaged plants are taken. Experiment results reveal that VGG16 has outperformed CNN and MobileNet models for the detection of tomato, potato, and apple plant diseases. The accuracy of the VGG16 model is 0.89, 0.92, and 0.95 for the tomato, potato, and apple plant diseases respectively.
Comparative Analysis of AI Techniques for Plant Disease Detection and Classification on PlantDoc Dataset
Authors: Sarada Macha
Published: June 2023

Any developing economy can be thought of as having its foundation in the agricultural sector. One industry where automation and the internet of things can have a significant impact is agriculture and modern farming. Due to the country's expanding population and rising food demands, agriculture is important in India. As a result, agricultural yield needs to be increased. Diseases brought on by bacteria, fungus, and viruses are one of these significant factors in decreased crop yields. By using methods for plant disease detection, this can be avoided and managed. Farmers must have access to the latest technologies and practices in order to get the most yield possible from their crops. A maximum agricultural output must be maintained, which means keeping healthy plants and keeping an eye on their surroundings to spot or detect diseases. Artificial intelligence (AI), machine learning, and deep learning have all been proven to be incredibly useful in the field of modern agriculture as a means of sophisticated image analysis.
Industrialization Impact on Climate Change
Authors: Yalkı İrem
Published: June 2023

This study aims at investigating the industrialization impact on environmental degradation in the newly industrialized countries (NICs). In order to measure climate change, the ecological footprint indicator is used. As GDPpc, energy use, and fossil fuel consumption are inextricably linked with industrialization, they are taken as the industrialization indicators. In addition to the industry level, also industry % of GDP is examined to determine the industrial structure of the countries. The study uses descriptive analysis to present the relationship between industrialization and climate change. The statistics show that energy use in NICs is at high levels, and fossil fuel consumption is dominant. Thus, the situation causes environmental degradation as these indicators act together. As the share of the NICs indicators has increased gradually over the years, the policies of these countries have significant importance. Therefore, they have to make urgent policies to transition to green economies.
Application of Multi-Criteria Decision-Making Methods for the Underground Mining Method Selection
Authors: Mijalkovski Stojance , Efe Omer Faruk , Zeqiri Kemajl
Published: June 2023

In mining, there are many complex problems that need to be solved in a limited period of time. When solving these complex tasks, it is necessary to take into account many parameters, all in order to determine the optimal solution for a given problem. The application of multi-criteria decision-making methods (MCDM) is very widely used to solve such complex problems. One of the most complex problems in mining is the underground mining method selection. In order to choose the most appropriate method of mining excavation, it is necessary to take into account a large number of influential parameters according to which we will compare mining methods. This paper will discuss the problem of underground mining method selection using the EDAS method. Also, a comparison of the obtained results will be made for a specific example, when applying several methods for multi-criteria decision-making. After comparing the obtained results, the most suitable mining method for a specific example will be determined.
Green Finance Products and Investments in the Changing Business World
Authors: Sengupta Rajeev , Patil Ameya Anil
Published: June 2023

There is a promulgation in the 21st century that those projects which are green should be given preference for financing, amid growing climate change concerns. As a result, green finance, which deals with financing sustainable projects, is in vogue. This study seeks to understand various investments in green finance as well as the green finance products such as green bonds and green insurance, along with vouching the use of weather derivatives for sustainable finance projects. The factors determining green finance are also incorporated, along with green fintech. The study finds that though investments in green finance are increasing, it is not enough. Government policy and support, innovativeness, and further awareness will determine the further investments in sustainable projects. The combination of fintech and green finance can help society to transition to near zero emissions, and protect the planet.
Scaling Up of Wood Waste Utilization for Sustainable Green Future
Authors: Shibu C. , Chandel Sunandani , Vats Preeti
Published: June 2023

Utilization of wood waste for sustainable production is becoming increasingly important in the current environmental and economic scenario. Various types of wood waste are generated by different industries. The current practices of wood waste recycling and reuse exhibit several benefits and limitations. The various technological innovations include the production of biofuels, engineered wood products, nanomaterials, animal bedding, and other potential applications. The importance of using wood waste for sustainable production includes various technological, environmental, economic, and social implications. Thus, the scaling of wood waste utilization for sustainable green production is a new age tool that offers immense potential for achieving sustainable development goals.
Uma proposta multimodal de análise de narrativas: gestos e direção do olhar na marcação de espaços mentais
Authors: Lisboa André , Avelar Maíra
Published: June 2023

O objetivo deste artigo é investigar, a partir de dados multimodais, o papel dos gestos e da direção do olhar na construção e marcação de Espaços mentais em ocorrências narrativas do Português Brasileiro. Para tanto, foram selecionados três excertos da narrativa pessoal proferida pela atriz Marisa Orth no programa ‘Que história é essa, Porchat?’, do Canal GNT (2019), disponível no YouTube. A fim de embasar teoricamente as discussões, primeiramente, foi discutida a relação entre os Espaços Mentais e os articuladores multimodais, quais sejam: os gestos e a direção do olhar (Sweetser & Stec, 2014). Além disso, foi apresentada a articulação entre os gestos manuais e a marcação de níveis narrativos – narrativo, metanarrativo e paranarrativo – , assim como a marcação de pontos de vista na narrativa – o ponto de vista do personagem (C-VPT) e o ponto de vista do observador (O-VPT) Em termos metodológicos, analisamos qualitativamente as escolhas lexicais de cada ocorrência (Dancygier, 2011) e, então, analisamos os gestos manuais, a partir da identificação e descrição da forma dos núcleos gestuais, de acordo com o Sistema Linguístico de Anotação Gestual - LASG (Bressem, Ladewig, & Müller, 2013). Também foram analisadas a direção e a função do olhar em contextos interacionais. Por fim, foram descritos e interpretados dados quantitativos sobre a duração da direção do olhar. Os resultados demonstram que os gestos e a direção do olhar podem tanto marcar, simultaneamente, o mesmo Espaço mental (seja ele o Espaço-base ou o Espaço Narrativo), assim como podem marcar, simultaneamente, Espaços Mentais diferentes.
Sexual objectification and depression among female college students in India
Authors: Meena P. S. , Sharma A.
Published: June 2023

Background: Literature suggests that the prevalence of depression among female college students is more than that of male students. Repeated sexual objectification of females appears to be one factor that can be used to explain this disparity and higher prevalence of depression in female students can be attributed to repeated experiences of sexual objectification by them. This study examines the association between sexual objectification and depression among female college students at a medical college in Rajasthan, India.
Methods: A cross-sectional observational study was conducted among female medical students attending a government medical college in Rajasthan, India. We used the Interpersonal Sexual Objectification Scale, the surveillance subscale of the Objective Body Consciousness Scale and, the Beck Depression Inventory-II to measure sexual objectification, body surveillance and depressive symptoms respectively.
Results: Sexual objectification and body surveillance strongly predicted the severity of depressive symptoms(p=0.00001). Results of the multiple linear regression indicated that there was a strong collective significant effect between sexual objectification, body surveillance, and depression, (p = 0.0001, R2 = 0.63). The coefficient of multiple correlation (R, 0.79) showed a strong correlation between the predicted data and the observed data.
Conclusion: Sexual objectification is a strong predictor of depression among female college students.
Comparative Study on the Effects and Complications of Transverse Insertion of Two Fine Gauge Quincke's Spinal Needles 26 and 29 G in Spinal Anesthesia
Authors: Varghese Becki Susan , Wahi Ajay , Duggal Geetashu , Bansal Sapna , Singh Prabhdeep , Garg Manvi
Published: June 2023

Introduction:

Spinal anesthesia is one of the most commonly used techniques in modern anesthesia. Spinal needles have evolved over time to increase efficacy and decrease complications. Fine gauge spinal needles technically consume more time but are advisable in certain clinical conditions such as raised intracranial pressure and when patient well-being and comfort are the priorities. Hence, we undertook this study to compare the effects and complication of transverse insertion of Quincke's spinal needle 26 G (gauge) and 29 G.

Materials and Methods:

Hundred patients of age 18–40 years posted for lower abdominal and lower limb surgeries were allocated into two groups of 50 each to receive spinal anesthesia with 3 ml of 0.5% bupivacaine using 26 G or 29 G Quincke's spinal needle. All the patients were evaluated for the time of drug administration, number of attempts, time to attain sensory blockade up to T8 level, time to attain motor blockade up to bromage Grade 3, and incidence of post-dural puncture headache (PDPH) and post-dural puncture backache.

Results:

Demographic data were comparable in both groups. The PDPH incidence on 3rd day for 29 G Quincke's was 0% while for 26 G Quincke's was 12%. There was statistically significant difference when 26 G Quincke's was compared with 29 G Quincke's for number of attempts, time of drug administration, time to attain motor and sensory block.

Conclusion:

29 G Quincke's spinal could be used to provide spinal anesthesia in young adult patients owing to adequate sensory and motor blockade with no incidence of PDPH and backache.