bluuebunny/crossref_metadata_2025 huggingface dataset:
Immunodiagnostic Detection of Angiostrongylus cantonensis Exposure on Hawaii Island Using Isogeographic 31-kDa Antigen
Authors: Jarvi Susan I. , Nakayama Kirsten , Eamsobhana Praphathip , Kaluna Lisa , Shepherd Laura , Tagami Yaeko
Published: June 2023

Angiostrongylus cantonensis is the leading cause of neuroangiostrongyliasis worldwide, and east Hawaii Island is a hotspot for the disease in the United States. A combination of glycoproteins with molecular weight of 31 kDa has been used as antigen to evaluate antibody response in human serum samples in Thailand with high specificity and sensitivity. In a previous pilot study, the Thailand-isolated 31-kDa proteins showed efficacy in dot-blot tests using serum samples from 435 human volunteers on Hawaii Island. However, we hypothesized that native antigen isolated from Hawaii A. cantonensis may exhibit higher specificity than the Thailand-isolated 31-kDa antigen due to potential minor variation in epitopes between isolates. In this study, 31-kDa glycoproteins were isolated by sodium dodecyl-sulfate polyacrylamide gel electrophoresis from adult A. cantonensis nematodes collected from rats captured on east Hawaii Island. The resultant proteins were purified by electroelution, pooled, bioanalyzed, and quantified. A subset of 148 samples from human participants of the original cohort of 435 was consented for this study, including 12 of the original 15 clinically diagnosed participants. Results of ELISA using the Hawaii-isolated 31-kDa antigen were compared with results of the same serum samples previously tested with both crude Hawaii antigen ELISA and Thailand 31-kDa antigen dot blot. This study shows a seroprevalence in the general population of East Hawaii Island of 25.0%, similar to previous findings of 23.8% seroprevalence in this cohort using crude antigen from Hawaii A. cantonensis and 26.5% using Thailand 31-kDa antigen.
Three-Dimensional Thermal Simulation of a Hybrid Vehicle with Energy Consumption Estimation and Prediction of Battery Degradation under Modern Drive-Cycles
Authors: El-Sharkawy Alaa , Sami Amr , Arora Dipan , Gaffar Salaheldin , Bakr Mosaad
Published: June 2023

As more electric vehicles (BEV, HEV, PHEV, etc.) are adopted in the upcoming decades, it is becoming increasingly important to conduct vehicle-level thermal simulations under different drive-cycle conditions while incorporating the various subsystem thermal losses. Thermal management of the various heat sources in the vehicle is essential both in terms of ensuring passenger safety as well as maintaining all the subsystems within their corresponding safe temperature limits. It is also imperative that these thermal simulations include energy consumption prediction, while considering the effect of battery degradation both in terms of increased thermal losses as well as reduction in the vehicle’s range. For this purpose, a three-dimensional transient thermal analysis framework was coupled with an electrochemical P2D-based battery model and a vehicle dynamics model to test different scenarios and their effect on a hybrid vehicle’s range and the lithium-ion battery life. Thermal losses from the battery, electric powertrain, combustion engine powertrain and exhaust/after-treatment systems were incorporated in the analysis. To test the proposed vehicle-level analysis framework, a full vehicle lifetime analysis was conducted on a plug-in hybrid electric vehicle after validating all the physics models. The effect of ambient temperature, different SOC range, driving conditions and battery degradation was examined in the tested vehicle scenarios and the trends of each effect were identified and illustrated.
Electrical Network Optimization Based Electrically Interconnected Suspension Control for Vehicle Cabin
Authors: Gao Zishan , Xia Xiangjun , Liao Yulin , Ning Donghong , Liu Pengfei , Du Haiping
Published: June 2023

In order to further improve the influence of the electrically interconnected suspension (EIS) on the ride-comfort, a four-port electrical network (EN) is established in the SIMULINK environment based on the existing EIS research and applied to the passive model of the cabin system. This model is a passive suspension model composed of the road surface excitation, the main suspension, and the cabin suspension. The electrical network of EIS is connected with the cabin suspension section so that the interconnection is completely achieved in the cabin suspension system. The simulation results indicated that the four-port EIS is able to decouple the cabin motion in the three directions of heave, pitch, and roll, and improved the ride comfort and handling stability by adjusting the parameters of the circuit components.

Based on the current achievement, Road profiles of a class A according to ISO 8608 was utilized as the excitation in the modelling stage to study the ride quality of light commercial vehicles on urban traffic road. Genetic algorithm (GA) method in MATLAB is utilized to alter the optimizing targets for each speed of road excitation. Both the time-domain simulation and the frequency-weighted RMS prove that the optimized EIS system can effectively reduce the motion acceleration of the cabin. Moreover, the motion sickness dosing value of the optimized cabin suspension is reduced by 31.68%. It can be said that GA optimization has a great effect on reducing the motion sickness of passive EIS vehicles in urban traffic.
GIDA TEKNİKERLERİNİN MEVCUT DURUMUNUN GIDA SEKTÖRÜ TARAFINDAN DEĞERLENDİRİLMESİ: TEKİRDAĞ ÖRNEĞİ
Authors: METE Hasan , UZAL Gürcan , KILIÇ Erdal , ERDEM Aytekin
Published: June 2023

Bu çalışmada amaç; Teknik Bilimler Meslek Yüksekokulları Gıda Teknolojisi Programlarından mezun olan gıda teknikerlerinin mevcut durumlarının gıda sektörü tarafından nasıl değerlendirildiğinin tespit edilmesidir. Araştırma, tarama modelinde olup evrenini 2022 yılında Tekirdağ ilinde faaliyet gösteren özel ve kamu işletmelerinde görev yapan işçi ve teknisyenler dışındaki çalışanlar oluşturmaktadır. Gıda işletmelerinden rastgele seçilen 98 temsilci araştırmanın örneklemi olarak belirlenmiştir. Araştırma kapsamında veriler sektör temsilcilerinden 5’li Likert tipi bir ölçek ile toplanmıştır. Elde edilen veriler, SPSS veri analiz programı kullanılarak, betimsel ve yordamalı istatistik teknikleriyle incelenmiştir. Bazı sonuçlar aşağıdaki gibidir: işletme temsilcilerinin gıda teknikerleri “İş güvenliği konusunda etkin tedbirler alabilirler” görüşüne katıldıkları, “Teorik bilgi düzeyleri iyidir”, “İşletmede kullanılan bilgisayar kontrollü makinelerinin uygulama programlarını kullanabilirler”, ”İşletmenin tüm bölümlerinde görev yapabilirler” görüşlerinde ise kararsız kaldıkları belirlenmiştir. Araştırmanın bulgularına göre gıda teknikerlerinin mesleki yeterlilik düzeylerinin arttırılması için meslek yüksekokulları ve gıda teknikerlerini istihdam eden işletmeler tarafından tedbirler alınması gerektiği sonucuna ulaşılmıştır.
Accuracy Evaluation of Orthophoto Maps Obtained by UAV Systems
Authors: ÇALLI Rüştü , İNYURT Samed , YILDIRIM Ömer
Published: June 2023

Unmanned Aerial Vehicles (UAV), which is one of the most important gains of the developing technology, was firstly used for military purposes, but soon became an important issue of our daily life. In addition to the ability to produce three-dimensional spatial information with the UAV, it provides less labor, time and cost advantage compared to conventional measurement methods, playing an important role in the spread of UAV usage. UAV systems, whose usage are becoming widespread and diverse day by day, are in a continuous development to meet the high accuracy requirements, especially for surveying activities. For this reason, UAV hardware and software features are also constantly developing. In this study, firstly, the accuracy comparisons of the data sets based on the UAV with GNSS-RTK and the UAV without this feature were studied. Later, the accuracy comparisons of the data sets processed by Pix4D Mapper and Agisoft FotoScan photogrammetry software. As a result of the comparisons, it was seen that the horizontal and vertical accuracy values obtained for the UAV data with GNSS-RTK were better than the horizontal and vertical accuracy values obtained for other UAV data. When the software were evaluated among themselves, it was seen that the horizontal and vertical accuracy of the data sets obtained with Pix4D Mapper software was better. On the other hand, while Agisoft FotoScan software gives better results in horizontal position accuracy of data sets based on UAV without GNSS-RTK, Pix4D Mapper software gives better results in vertical position accuracy of those.
IZAZOVI VOĐENJA SLUČAJA U SOCIJALNOM RADU
Authors: Dimitrijoska Sunčica
Published: June 2023

Case management is a method that has a long history of its application in socialwork with beneficiaries of services and rights within the social protection system. Theapplication in the Balkan countries is for a shorter period and it is in the process ofdevelopment and in some countries such as the Republic of North Macedonia, it is atthe very beginning of its introduction, which started in 2020. The reason fordevelopment of this paper is to critically refer to the use of the case management method, especially in the Balkan countries, to see the segments needed for itsdevelopment, especially in the countries that are at the beginning of its application. The main objective is to observe certain social circumstances, the creation andapplication of new laws and by-laws, as well as conceptual professional issuesrelated to modern principles, theory and practice of social work, as well asorganizational issues related to the analysis of the process itself through operationalphases in the work with beneficiaries. It is pointed out that there is a need tointroduce the indicator of the complexity of the case, determining the number ofbeneficiaries with whom one case manager can work, as well as the analysis anddevelopment of the documentation. Research was conducted in three centers forsocial work and professional experiences and testimonies of professional workers, case managers, as well as the primary experiences of the author of this text wereused.
PEMBUATAN MULTIMEDIA PEMBELAJARAN RESTORAN DAN BARISTA UNTUK MENINGKATKAN HASIL BELAJAR DAN KEAKTIFAN MAHASISWA PENDIDIKAN TATA BOGA MENGGUNAKAN ADOBE FLASH
Authors: Hamdani Fahri , Sasmita Susanto Eri , Yuliadi Yuliadi , Aldrin
Published: June 2023

Penelitian ini bertujuan untuk: (1) menghasilkan multimedia pembelajaran berbasis Adobe Flash untuk Mahasiswa Pendidikan Tata Boga pada mata kuliah restoran dan barista, (2) mengetahui sejauh mana multimedia pembelajaran dalam meningkatkan hasil belajar mahasiswa, (3) mengetahui sejauh mana multimedia pembelajaran dalam meningkatkan keaktifan mahasiswa. Metode yang digunakan yaitu Research and Development (R&D) dengan mengacu pada langkah pengembangan Alessi & Trollip. Subjek coba penelitian ini terdiri atas uji alpha dan uji beta. Pengambilan data hasil belajar dilakukan dengan cara pemberian pre-test dan post-test, sedangkan pengambilan data keaktifan dilakukan dengan cara penilaian angket keaktifan mahasiswa saat penggunaan multimedia. Hasil penelitian menunjukkan bahwa: (1) produk multimedia dalam kriteria sangat layak digunakan baik dari segi aspek penilaian materi maupun aspek penilaian media, (2) multimedia pembelajaran meningkatkan hasil belajar mahasiswa dengan preseantase pencapaian dari 5% (pre-test) menjadi 91,5% (post-test), (3) multimedia pembelajaran meningkatkan keaktifan siswa sebesar 66,90% dengan kriteria tinggi.
RANCANG BANGUN ALAT PEMUTUS ALIRAN LISTRIK RUMAH SAAT TERJADI KEBOCORAN GAS LPG BERBASIS MIKROKONTROLER ARDUINO UNO
Authors: Suryadi  , Zulkarnaen Zulkarnaen
Published: June 2023

Rancang bangun alat pemutus aliran listrik rumah saat kebocoran gas LPG berbasis mikrokontroler arduino uno. Dalam proses pemasangan tabung gas LPG yang tidak tepat, alat yang tidak sesuai Standar Nasional Indonesia dan masih banyak lagi. Hal ini dapat menyebabkan kebocoran gas yang dapat memicau ledakan, kebakaran dan bahkan memakan korban jiwa. Hal ini tidak hanya menimbulkan keuntungan dan kemudahan khususunya buat para ibu rumah tangga, tetapi juga dampak negatif yang ditimbulkan oleh pemakian tabung gas LPG jika tidak hati-hati. Untuk itu diperlukan suatu alat pendeteksi kebocoran gas LPG berbasisi mikrokontroler arduino uno guna memberikan informasi melalui peringatan atau alaram. Penelitian ini bertujuan agar membantu kehidupan atau aktivitas manusia, terutama untuk aktivitas sehari hari didalam rumah seperti dalam mengatur keamanan lingkungan, sistem peringatan dan lain sebagainya. Adapun metode penelitian yang digunakan ialah, metode observasi dan  studi literatur. Sedangkan jenis penelitian yang digunakan adalah penelitian eksperimen.

Berdasarkan dari hasil pengujian dapat disimpulkan, bahwa rancang bangun alat ini dapat berjalan sendiri karena menggunakan mikrokontroler arduino yang sudah di hubungkan dengan sensor untuk mendeteksi kebocoran gas LPG Menggunakan sensor MQ6 dan melakukan control otomatis terhadap pemutusan aliran listrik menggunakan relay serta meyalakan peringatan atau alarm menggunakan buzzer. Tujuannya adalah Untuk mencegah kebakaran dengan memutus aliran listrik pada suatu rumah. Mengetahui kerja sensor MQ6, Mengetahui kerja relay terhadap pemutusan aliran listrik. Mengetahui cara kerja mikrokontroler arduino uno.
EKSTRASI FITUR SINYAL EKG MYOCARDIAL INFARCTIN MENGGUNAKAN DISCRETE WAVELET TRANSFORMATION
Authors: Siti Agrippina Alodia Yusuf  , Nani Sulistianingsih  , Helmi Imaduddin
Published: June 2023

Salah satu tahapan penting pada proses identifikasi sinyal EKG adalah ekstraksi fitur, dimana fitur yang diperoleh mencirikan kondisi dari jantung. Kondisi dari jantung dapat dilihat berdasarkan gelombang-gelombang yang dihasilkan pada sinyal EKG, dimana gelombang-gelombang tersebut dihasilkan oleh aktivitas listrik jantung. Pada penelitian ini, dua tipe mother wavelet akan dibandingkan untuk melihat tipe mana yang paling cocok untuk mengekstraksi fitur dari sinyal EKG. Tipe mother wavelet yang akan dibandingkan adalah Daubechies dan Symlet dengan orde masing-masing adalah 5, 6, dan 7 untuk Daubechies, dan 6, 7, dan 8 untuk Symlet. Sinyal EKG dengan kondisi jantung MI dan normal yang telah ditingkatkan kualitasnya dan telah melalui proses pemotongan sinyal, diekstraksi menggunakan Discrete Wavelet Transformation (DWT) dengan mother wavelet Daubechies dan Symlet pada dekomposisi level dua dan fitur yang diambil yaitu fitur statistik seperti rata-rata, median, standar deviasi, kurtosis, dan skewness. Fitur-fitur diambil dari sub-band D2 dan D1, sehingga total fitur yang diperoleh yaitu 10 fitur. Sinyal EKG kemudian diklasifikasi menggunakan metode KNN dan untuk mendapatkan hasil yang tergenaralisasi, maka K-fold cross validation juga diaplikasikan. Berdasarkan percobaan yang telah dilakukan, diperoleh akurasi tertinggi sebesar 94% dengan sensitivitas dan spesifisitas sebesar 82% dan 91% dengan mengaplikasikan mother wavelet Daubechies orde 7.
İŞLETMELERDE DİJİTAL OLGUNLUK DÜZEYİNİN YENİLİK PERFORMANSI ÜZERİNDEKİ ETKİSİNDE BÜYÜK VERİ ANALİTİK YETENEĞİNİN ARACI VE VERİ ODAKLI KÜLTÜRÜN DÜZENLEYİCİ ROLÜ
Authors: DÜZCAN Abdurrahim , FİDAN Yahya
Published: June 2023

Bu çalışmada; dijital olgunluk ve yenilik performansı kavramları, birbiri ile ilişkileri ve bu ilişkide büyük veri analitik yeteneği ve veri odaklı kültürün yerinin incelenmesi amaçlanmaktadır. Amaç: Araştırma kapsamında, Forrester Digital Maturity Model 5.0’ı kullanarak yapılan anket çalışması ile, Türkiye’deki orta ve büyük ölçekli işletmelerin dijital olgunluk seviyesi ölçülmüştür. Ayrıca bu çalışmada, dijital olgunluk düzeyi ile yenilik performansı ilişkisi ve bu ilişkide büyük veri analitik yeteneği ve veri odaklı kültürün etkisi incelenmesi amaçlanmıştır. Yöntem: Öncelikli olarak kavramların literatür araştırması yapılmıştır. SurveyMonkey isimli anket programı vasıtasıyla, online olarak dağıtılmış ve 411 cevap alınmıştır. Anket sonuçlarının veri analizi; SPSS 26.0 ve AMOS 21.0 programları ile %95 güven düzeyinde incelenmiştir. Değişkenler için frekans ve % istatistikleri ortalama, standart sapma değerleri elde edilmiştir. Doğrulayıcı Faktör Analizleri gerçekleştirilmiş ve güvenilirlik düzeyleri ölçümlenmiştir. Pearson korelasyon testi, çoklu doğrusal regresyon, hiyerarşik regresyon testleri yapılmıştır. Aracılık testi için YEM analizi Bootstrap ve Sobel tekniği kullanılmıştır. Yapılan anketin cevaplarının analizi sonrasında, kavramların ilişkisi incelenmiş ve sektör bazlı dijital olgunluk seviyeleri Forrester’ın Dijital Olgunluk Modeli 5.0’a göre ölçülmüştür. Bulgular: İşletmelerin dijital olgunluk seviyesinin yenilik performansını ve büyük veri analitik yeteneğini etkilediği ortaya çıkmıştır. Büyük veri analitik yeteneğinin, yenilik performansını etkilediği tespit edilmiştir. Elde edilen bulgular, dijital olgunluk seviyesinin yenilik performansına olan etkisinde, büyük veri analitiği yeteneğinin bir aracı değişken olarak işlev gördüğünü ortaya koymaktadır. Dijital olgunluk düzeyinin, yenilik performansı üzerindeki etkisinde veri odaklı kültürün düzenleyici rolü olmadığı ortaya çıkarılmıştır. Özgünlük: Bu araştırma ile, Türkiye’de ilk defa işletmelerin dijital olgunlukları, Forrester’ın Dijital Olgunluk Modeli 5.0 kullanılarak ölçülmüştür. Orijinalinde İngilizce olan bu olgunluk modelinin anket soruları Türkçe’ye çevrilmiş ve ileride yapılacak Türkçe araştırmalara bir ölçek kazandırılmıştır. Bu araştırma, Türkiye’de dijital olgunluk ile yenilik performansı arasındaki ilişkiyi ölçen ilk araştırmadır.
Communication for Tapis Business Development by the Young Generation through Tapis Jejama Kham MSME’s in Negeri Katon District Pesawaran Regency
Authors: Trully Dame , Listiana Indah , Rara
Published: June 2023

This study aimed to determine the effectiveness of the communication strategies used for the business development, to identify the interest of the younger generation, and to  analyze the factors that influence the interest in entrepreneurship of the younger generation  The research was conducted in Negeri Katon District, Pesawaran Regency, and the study sample consisted of 32 members of the Tapis Jejama Khan MSME group. The study employed a quantitative descriptive method, utilizing the census technique for data analysis. The results indicate that the communication strategies used for the MSME Tapis business development have been effective. The younger generation's interest in entrepreneurship is high. Furthermore, the study revealed a significant relationship between age, formal education, and motivation with youth interest in entrepreneurship. However, there was no significant relationship between non-formal education, media exposure, agency support, and youth interest in entrepreneurship. In conclusion, the findings of this study suggest the need for continued communication and development efforts to ensure the growth and sustainability of MSMEs. Furthermore, policymakers and MSMEs can focus on developing specific entrepreneurial traits and enhancing formal education to facilitate the regeneration process and keep businesses growing and advancing.
Prototype of MyoWare (Electromyography Muscle Sensor) for Measuring People’s Muscle Strengths
Authors: Rahagiyanto Angga , Suyoso Gandu Eko Julianto , Vestine Veronika , Iskandar Abdullah
Published: June 2023

Human-Computer Interaction (HCI) becomes a solution to help humans connect with computers. Research and tools related to HCI have been developed by many researchers. HCI is able to help humans connect between humans and computers and humans with humans at a considerable distance. One of HCI model is applied to the MyoWare tool that can capture hand muscle movements using an electromyograph (EMG) sensor. This article describes how to assemble and identify the raw data generated from the MyoWare tool. Using MyoWare on the hand could produce EMG data output. MyoWare only used the EMG sensor and generated data in the form of Envelope EMG and Raw EMG which differed in scale and size. This required a extraction features process to make the data uniform. This study uses the Moment Invariant method to extract features and min-max to normalize each data generated on the MyoWare sensor. Testing was done by doing simple hand movements. The test results showed that the differences in gestures were recognized well even though they were performed in different positions.
Spatial Analysis of Landslide-Prone Areas in Damer District, Maluku Barat Daya Regency, Maluku Province
Authors: Rakuasa Henrich , Sihasale Daniel Anthoni , Latue Philia Christi , Pakniany Yamres , Septory Juan Steiven Imanuel
Published: June 2023

Based on historical data on landslide events, Damer District is an area prone to landslides in Southwest Maluku Regency. One of the first steps in mitigating landslides in Damer District is to map areas that have the potential for landslides. The purpose of this study was to determine the spatial distribution of landslide-prone areas in Damer District, Southwest Maluku Regency. This study uses the SMORPH method to identify and classify areas that have the potential for landslides based on the matrix between the shape of the slope and the angle of the slope. This study resulted in 4 levels of landslide potential areas, namely very low, low, medium and high potential. Villages with high landslide potential are Wulur Village and villages with very low landslide potential are Ilih Village. The results of this study also illustrate that the higher the slope accompanied by the formation of convex or concave slopes, the higher the potential for landslides to occur. The results of the research are expected to help the Southwest Maluku Regency government, especially the Damer District government, in an effort to spatial planning based on disaster mitigation.Spatial Analysis
Population Growth: Challenges In The Fulfillment of The Right To Work
Authors: Tan Winsherly , Situmeang Ampuan , Jaya Febri
Published: June 2023

Introduction: Population growth has positive and negative impacts on a region. Batam city is a city with a fairly large population and Batam City must be able to fulfill its citizens' rights.Purposes of the Research: This study aims to analyze the fulfillment of the right to work and identify ways to control the rate of population growth to meet the need for jobs. Methods of the Research: The method used in this research is normative juridical. The study used is library research. The basis used in this study is the juridical basis which consists of the 1945 Constitution, Law Number 39 of 1999 concerning Human Rights and the theoretical basis used is the legal system theory of Lawrence Meir Friedman. Results of the Research: Based on the results of the study, it was found that the population growth in the Batam city is increasing and the Batam city has an obligation to fulfill the right to work for its residents. Therefore, Batam City must make a population grand design which also contains strategic plans for managing human resources and strategies for preparing jobs for its residents
CONSTRUCTION AND RE-CONCEPTION OF IDENTITY: REJECTING HOMOGENEITY IN AMERICA THROUGH THE VANISHING HALF (2020) BY BRIT BENNETT
Authors: Nahari Nadiah Surya , Kristianto Bayu
Published: June 2023

Identity shows one's identification in a social context, but in fact social conditions still tend to require citizens to identify themselves based on skin color and sexuality that has been determined and deemed appropriate. Such conditions are seen as homogenizing behavior. The Vanishing Half (2020) establishes the identity of its characters as a rejection of the homogeneity of skin color and sexuality in America. The rejection is reflected in the identity construction of the characters in The Vanishing Half (2020) which features mulatto people to show that skin color identities are not only black or white but can vary widely, and presents transsexual characters to show that a person's sexual identity is not just limited to naturally men and women. The identity construction of the characters is carried out to redefine the concept of identity in a fluid social society. Identity re-conception is carried out as an effort to build awareness of the concept of identity which is fluid, layered, changeable and diverse, so it is necessary to carry out legal protection of identity.
RETRIBUSI PEMOTONGAN HEWAN SEBAGAI SALAH SATU SUMBER PENDAPATAN DAERAH: STUDI KASUS UPACARA ADAT RAMBU SOLO’ DI TANA TORAJA
Authors: Siprianus Palete
Published: June 2023

Penelitian ini adalah penelitian deskriptif kuantitatif yaitu suatu sistem pemikiran atau suatu metode peninjauan yang berusaha menggambarkan dan menyajikan keadaan pada saat penelitian berlangsung. Penelitian deskriptif ini bertujuan untuk menggambarkan tentang kontribusi dan efektifitas Retribusi pemotongan hewan sebagai salah satu sumber Pendapatan Asli Daerah (PAD) Kabupaten Tana Toraja.

Berdasarkan hasil analisis yang dilakukan oleh penulis dapat ditarik kesimpulan bahwa Pengelolan retribusi RPH di Kabupaten Tana Toraja pada dasarnya sudah ditetapkan dalam Perda Nomor 4 Tahun 2001 tentang Retribusi Rumah Potong Hewan. Kontribusi Retribusi Potong Hewan terhadap pendapatan asli daerah (PAD) di Kabupaten Tana Toraja pada tahun 2017-2021, masih terbilang sangat kurang karna persentase jauh dari angka 40%, dengan kontribusi rata-rata 2,47% pertahun. Tingkat Efektivitas Retribusi Potong Hewan di Kabupaten Tana Toraja pada tahun 2017,2020, dan 2021 tergolong sangat efektif meskipun realisasi penerimaannya tidak berada jauh dari target yang telah ditetapkan. Sementara untuk tahun 2018 diperoleh persentase sebesar 53,6% dan tahun 2019 hanya memperoleh persentase sebesar 41,30% ini menunjukkan penurunan tingkat persentase yang sangat tinggi bahkan berada jauh dari target yang telah ditetapkan karena realisanya tidak mencapai target.
Possibilities for Sustainable Development in Corn Intensification Scenarios
Authors: Romero Flores Liliana Lizbeth , López Nevárez Virginia , Peinado Guevara Víctor Manuel , Chinchillas Chinchillas Manuel de Jesús , Perea Dominguez Xiomara Patricia , Arciniega Galaviz Marco Arturo
Published: June 2023

La actividad agrícola es un detonante del desarrollo económico en Sinaloa, México; el maíz es el cultivo más destacado; sin embargo, los procesos productivos están lejos del desarrollo sostenible. Por lo tanto, el objetivo es analizar los aspectos inherentes a la intensificación del cultivo del maíz desde la perspectiva del desarrollo sustentable, examinando los contextos económico, social y ambiental del proceso del cultivo del maíz a nivel global, nacional y del estado de Sinaloa. Esta investigación fue diseñada como un estudio descriptivo-explicativo con un enfoque cualitativo. Los resultados indican que existen varios desafíos que enfrentan los agricultores al encaminar procesos agrícolas hacia el desarrollo sostenible, tales como falta de información, falta de innovación, aversión al riesgo y resistencia al cambio; a pesar de esto, las consecuencias de aplicar prácticas agrícolas sustentables son positivas, generando mayor producción y cuidado de los recursos naturales. A pesar de los efectos que la agricultura ha tenido sobre el medio ambiente, cambiar el enfoque y reestructurar la producción de maíz con un enfoque de desarrollo sostenible es el camino a seguir para asegurar que esta actividad pueda seguir desarrollándose a lo largo de los años.
Size Selective Predation and its Effects on Zooplankton Populations
Authors: Jemelian Alex , Schindler Daniel
Published: June 2023

Many lakes around the world have plankton communities that are structured by an ecological phenomenon known as size selective predation. Size selective predation is a form of predation that selects for prey of a specific desired size by the predator. Size selective predation can have an effect on both size distribution of the prey population as well as the composition of zooplankton taxa in a lake ecosystem. The overarching question being asked in this experiment is how the different zooplankton populations are affected under conditions where they are subjected to size selective predation. Within our study, we assessed the effects of size selective predation in two lakes in British Columbia, and reproduced the natural phenomenon in the lab using live zooplankton and their predators to simulate interactions in the natural world.
A Piezoelectric Energy Harvester for Mechanical Keyboards to Enable Self-Powered Computers
Authors: Nandpure Sanika , Kelkar Padmakar
Published: June 2023

A 2015 NRDC research study revealed that electronic devices consume alarming amounts of energy. To reduce theenergy consumption of these devices, this project proposes a novel energy-harvesting keyboard design that allows acomputer to charge as the user types on it. The keyboard generates electricity via piezoelectric materials. A novelkey structure and transducer circuit were proposed to integrate the piezo materials in the keyboard and transform theelectricity generated through keystrokes into a usable form. A keyboard prototype with 9 keys was used for testing.Data was collected in two rounds; the first round tested the power generated per keystroke. It was determined thatthe average power generated from a single key press was 0.342 μW. The second round of testing involveddetermining the power generated after typing at a constant rate for 5-25 seconds. The peak electrical output occurredat 25 seconds of typing, during which the total power generated was 2.38 mW. Thus, after 25 seconds of typing,62% of a 22μF capacitor can be charged. This power output of the prototype is nearly 9 times higher than theexpected power output. Given that the expected value was calculated using a higher-quality piezo than the one usedin the prototype, it can be concluded that the keyboard design significantly increased the power generated. Althoughthe needs of a computer are not fully met, this research may be applied to a hybrid charging system utilizing boththe plug-in charger and the keyboard.
What the COVID-19 Pandemic has Taught Us About Future Health Standards
Authors: Bao Brandon , Asmis Reto
Published: June 2023

The COVID-19 pandemic has been the greatest global health crisis of the 21st century, responsible for over six million deaths and half a billion cases in the past three years. Unfortunately, the world was unprepared for the pandemic and, as a result, struggled to respond to the outbreak with effective public health measures. In order to prepare for the next pandemic, this paper seeks to explore the effectiveness of many different public health policies. This paper examines whether implementing mask policies, social distancing, targeted lockdowns, efficient testing, and strict quarantining controls are the best tactics for combating the next virus outbreak. The burden caused by the next pandemic could be radically reduced if all of these policies are implemented strategically.
Utilizing Machine Learning to Predict the Number of Bikes in an Area
Authors: Bansal Tavishi , Goldsztein Guillermo
Published: June 2023

Machine learning is a type of Artificial Intelligence that uses data to make predictions and improve the accuracy of its outcomes. In this article, the problem discussed is classified as supervised learning and the technique utilized is Logistic Regression. After a description detailing what supervised learning and logistic regression are, using a data set to develop a model which predicts the number of bikes a rental bike company should provide based on certain conditions is discussed. The accuracy of this model is also communicated and the challenges and how the final estimations were reached are covered.
Stem Cells and Regenerative Medicine in the Treatment of Musculoskeletal Disorders
Authors: Mehta Pranay , Kethar Jothsna
Published: June 2023

Regenerative medicine is a field of medicine focused on the repair or replacement of damaged or diseased cells, tissues, and organs through the use of various medical technologies. These technologies include stem cell therapy, tissue engineering, and gene therapy, among others. Millions across the globe are plagued with musculoskeletal disorders (MSD) with ranging debilitating effects that are detrimental to the functionality of one's life. The healing process of MSD can be arduous and sometimes worse than the injury itself. The various methods of treatment including stem-cell based therapy and the origin and composition of these stem cells has been reviewed in this paper, in order to present a way in which the natural healing process of MSD can be amplified and catalyzed.
The Application of Artificial Intelligence and Machine Learning to Anesthesiology
Authors: Kothapalli Srinithya , Appavu Rajagopal
Published: June 2023

This research paper explores the application of artificial intelligence (AI) and machine learning (ML) in anesthesiology. AI and ML have the potential to improve patient outcomes and enhance clinical decision-making by enabling anesthesiologists to monitor patient vital signs in real-time, predict the likelihood of complications, and optimize drug dosages to minimize side effects and enhance efficacy. The Hypotension Prediction Index algorithm is a compelling example of how AI and ML can be utilized to improve intraoperative patient care. However, there is a need for further research and validation to ensure the safety and efficacy of these technologies in clinical practice. Future advancements in AI and ML techniques are likely to result in more sophisticated and accurate predictive models, decision support tools, and monitoring systems that will ultimately benefit patients undergoing anesthesia. Overall, the application of AI and ML in anesthesiology presents a promising avenue for improving patient care and outcomes.
Is Gen Z in India Moving Towards Financial Independence? - A Study of Their Investment Preferences
Authors: Dugar Mahek , Madhavan Vinodh
Published: June 2023

Gen Z are financially more sophisticated than any previous generation was at their age and are only at the beginning of their journey to financial independence. With increasing evidence of Gen Z investing in India, the current study aims to explore their investment preferences. A survey was conducted for age group 15-25 asking them about their source of monthly funds, proportions and reasons for saving, investment preferences including proportions, avenues, time frame, risk perceptions and behaviour of investing. The study finds that saving habits of Gen Z are significantly different across gender, age and annual family income and they are gradually moving towards financial independence by relying on their own earnings. Consequently, we found that Gen Z’s investments were largely influenced by higher saving proportions and investing experience of their family members. We also observe that Gen Z is investing long term in assets like Equity Shares, Mutual funds, Fixed Deposit and Gold/Silver, and intraday in risky assets like Crypto.  Factors like rate of return, long term gains and historical performance were found to influence their investment decisions as more than 50% of the Gen Z were found likely to invest in Growth and SIP’s of mutual funds, Growth and Value equity stocks and in Banking and Information Technology sector. Lastly, we see that majority of Gen Z follows a herd behaviour, uses new age investing apps, fearing losses find it difficult to take the first step in investing but are optimistically ready to learn and improve their investing skills.
AI Based Real-Time Weather Condition Prediction with Optimized Agricultural Resources
Authors: Pierre Nyakuri , Ishimwe Viviane Ishimwe Viviane , Lambert Uwimana , Viviane Ishimwe , Shadrack Irakora , Erneste Bakunzi , Schadrack Nshimyumuremyi , Alexis Ntawukuriryayo , Francois Karanguza , Theogene Habiyaremye
Published: June 2023

Purpose: Unpredictable and rapid change in weather patterns has great impact on agricultural activities, especially for precision agriculture that results in worsened water resources availability, decreased soil fertility, use of pesticide as well as decreased yield productivity. In attempt to alleviate these challenges, this study aims at developing a real-time weather and farm field data driven Artificial Intelligence (AI) and Internet of Things (IoT) system that analyze, manage and schedule irrigation and fertigation as well as enabling farmers to interact with their farms via Smart phone or PCs to optimize energy and water resources.

Methodology: The system employs weather condition monitoring sensors such as atmospheric pressure, air temperature, air humidity and wind speed for collecting real-time farm field data and uses Fuzzy Inference System (FIS) to predict rainfall rate at farm area for 24 hours period. The system also gathers field data such as soil moisture content and soil nutrient content and uses the Machine Learning (ML) algorithms to predict the time for irrigation and fertigation. By combining weather and farm field data, the system schedules the irrigation and fertigation activity. In addition, the mobile application is developed for the farmers to interact, control and monitor the farming activities and the data is presented to the farmers in both graphical and numerical formats.

Findings: The system prototype deployed and tested in the two hectors Maize farm proved that 55% of water, 51% of energy and 20% of fertilizer were saved as well as increases in 20% of Maize yield production compared to previous season.

Recommendations: Since the current irrigation and fertigation practices are based on predetermined time of the day and threshold values for automatic irrigation, this solution introduced the new concept of real-time and short-term weather forecasting that enables farmers to balance the irrigation period and weather pattern for water and fertilizer resources optimization.
Moderating Role of Marketing Audit on the Effect of Strategic Marketing Planning on Organisational Performance of Selected Quoted Consumer Goods Manufacturing Companies in Lagos
Authors: Seidu A.J. , Akinlabi, B.H. Akinlabi, B.H. , Makinde O.G.
Published: June 2023

Purpose: Recently, business uncertainty and pressures have challenged routine activities in consumer goods manufacturing companies (CGMC), resulting in dwindling performance due to their inability to respond swiftly and correctly to strategic marketing planning practices. However, proactive manufacturing businesses strive to evaluate their operational activities and thus put measures in place to improve their performance as a condition of continuous existence and future development. Such organisations analyse their routine functions periodically, through operational methods that allow the evaluation of their market strategy, current performance and function as management guides. The study therefore investigated the moderating role of Marketing Audit (MA) on strategic marketing planning and organisational performance of selected quoted consumer goods manufacturing companies in Lagos,

Methodology: Survey research design was used for this study. The population was 594 staff in the sales and marketing departments of the selected CGMC in Lagos State, Nigeria. The study adopted total enumeration method. Purposive sampling technique was employed. Data were analysed using descriptive and inferential (multiple regression) statistics.

Findings: The findings showed that marketing audit has a significant moderating effect on the effect of strategic market planning on organisational performance of selected quoted consumer goods manufacturing companies in Lagos State, Nigeria.  

Recommendations: The study therefore recommends that top management of CGMCs should review the companies MA on marketing strategy process of personnel with correct organizational values and attitudes.
Pendidikan Karakter Moral dan Toleransi Siswa
Authors: Laksono Bayu Kusumo Dwi , Manik Yuni Mariani
Published: June 2023

Moralitas dan toleransi semakin memudar di tengah pergaulan saat ini yang semakin bebas dan leluasa. Karenanya, pendidikan moral dan akhlak mendesak untuk terus digalakkan, terutama pada anak usia dini. Tujuan dilaksanakan pendidikan, salah satunya, memang guna mencetak anak didik yang bermoral dan berakhlak baik. Namun, pendidikan moral dan akhlak tidaklah cukup hanya sekadar teori, tetapi membutuhkan model atau teladan yang dapat memberikan contoh. Keberadaan teladan yang baik sangat penting dalam proses pendidikan moral dan akhlakul karimah untuk anak usia dini, sebab anak usia dini memiliki kecenderungan meniru sikap dan perilaku orang lain dari pada mendengarkan, terutama orang-orang disekitarnya, seperti orang tua, guru, dan teman sejawat. (Hasanah, 2015). Sumber-sumber dalam penelitian ini diperoleh dari data yang sebenarnya dengan menekankan pada pengutipan artikel serta jurnal terakreditasi yang dipublikasikan. Studi literatur dalam penelitian ini dilakukan penulis melalui proses membaca, menyimpulkan, dan mengembangkan data yang diperoleh sebagai bahan penelitian yang dilakukan. Seiring dengan perkembangan teknologi yang begitu pesat tentang perubahan perilaku dan perbuatan kehidupan pelajar di sekolah maupun di lingkungan masyarakat terjadi begitu signifikan. Suatu perilaku dianggap menyimpang apabila tidak sesuai dengan aturan-aturan, nilai-nilai dan normanorma sosial yang berlaku dalam lingkup masyarakat atau lingkungan sekolah atau dengan kata lain penyimpangan. Kesimpulan yang dapat diambil dari pembahasan peran Pendidikan moral pelajar adalah perlunya perencanaan yang terstruktur dari pembelajaran yang dilakukan di sekolah-sekolah.(Gunawan & Najicha, 2022)
Pemanfaatan Game Edukasi Rambu-Rambu Lalu Lintas
Authors: Rohkim Miki Nur , Manik Yuni Mariani
Published: June 2023

Berlalu lintas merupakan proses perjalan atau perpindahan dari satu tempat ke tempat lain. Pada kenyataanya berlalu lintas nampaknya belum tercermin pada pribadi masyarakat Indonesia. Hal itu dapat dilihat dari tingkat kecelakaan dan pelanggaran lalu lintas yang masih sering terjadi. Kurangnya pengetahuan tentang hukum pelanggaran dan arti rambu lalu lintas menjadi pemicu utama terjadinya kecelakaan dan pelanggaran lalu lintas. Hal itu membuat peneliti memberikan referensi aplikasi pembelajaran sebagai sarana pengenalan rambu lalu lintas yang dapat di akses melalui smartphone. Banyaknya Operasional sistem yang digunakan pada semartphone, Android adalah salah satu sistem operasi yang sangat familiar digunakan masyarakat. Game adalah salah satu media penyampaian pesan yang cukup baik karena bukan hanya mendapatkan pembelajaran, namun bisa mendapatkan kesenangan saat memainkanya. Dengan adanya aplikasi pembelajaran tentang Rambu Lalu Lintas dapat memudahkan siswa dalam mempelajari rambu lalu lintas. Metode penelitian yang digunakan adalah Literature Review.
Impact of Leadership, Motivation and Work Discipline on Employees’ Performance: The Case Study of Muara Telang District Office Kabupaten Banyuasin
Authors: Hendra Yusril Ihzama , Moelyati Trisniarty Adjeng , Nurahmi Maftuhah
Published: June 2023

This study aims to determine (1). The influence of leadership, motivation, and discipline on the performance of village officials in the Muara Telang sub-district, Banyuasin district. (2) The influence of leadership on the performance of village officials in the Muara Telang sub-district, Banyuasin district. (3) The effect of work motivation on the performance of village officials in Muara Telang sub-district, Banyuasin district. (4) The effect of work discipline on the performance of village officials in Muara Telang sub-district, Banyuasin district. This research is a quantitative study of data analysis used in this study using multiple linear regression analysis. The population in this study were all employees in 16 villages in the Muara Telang District, totaling 280 employees. The sample used the simple random sampling technique, which is a random sampling technique for the population. By using the Slovin formula, a sample of 165 employees is obtained. The results reveal that leadership, motivation, and work discipline significantly positively affect the employees' performance of village officials in the Muara Telang sub-district, Banyuasin district.
Çocuklarla Psikolojik Danışmada Hikaye Anlatım Tekniği
Authors: YAŞAR YILMAZ Kübra
Published: June 2023

Günümüzde hikaye anlatım tekniği özellikle çocuklarla danışmada sıklıkla başvurulan önemli bir teknik haline gelmiştir. Çocuk danışanlar, yetişkinlerden farklı bir dil kullanırlar. Çocuklarla çalışan ruh sağlığı profesyonelleri günlük dil yerine metaforlardan, oyunlardan, görsellerden, hikayelerden yararlandıklarında danışanları ile daha güçlü bir terapötik ilişki kurabildiklerini bildirmektedirler. Hikaye anlatım tekniği, psikolojik danışma sürecinde danışanın doğrudan ifade edemediği duygu ve düşüncesini hikayelerdeki karakterler aracılığıyla ifade etmesini kolaylaştıran terapötik bir araçtır. Postmodern yaklaşımlarla birlikte popüler hale gelen hikaye anlatım tekniği ile ilgili çalışmaların ülkemizde sınırlı sayıda olduğu görülmektedir. Çocuklarla çalışan okul psikolojik danışmanları, çocukla günlük dil ile iletişim kurmaya çalıştıklarında dirençle karşılaşabilmektedirler. Bu durum yardıma ihtiyaç duyan çocuğa psikolojik destek sağlanmasının önüne geçebilir. Özellikle zorlu yaşantılarla karşılaşan çocuklara gerekli destek sağlanmadığında uyum sorunları, öğrenme güçlükleri, alt ıslatma gibi sorunlar yaşanabilmektedir. Bu çalışmada psikolojik danışmada hikaye anlatım tekniğinin işlevine bazı hikaye anlatım tekniklerine ve çocuklarla psikolojik danışmada hikaye anlatım tekniğinin kullanımına yer verilmiştir. Bu çalışma, özellikle çocuklarla çalışan okul psikolojik danışmanları için hikaye anlatım tekniğinin sahadaki yeni uygulamaları, faydaları ve kullanım kolaylığı ile ilgili bilgi vermesi yönüyle önemlidir.
Democratic Omnibus Law in Indonesia
Authors: Putra Marsudi Dedi , Setia Negara Tunggul Anshari , Widiarto Aan Eko , Qurbani Indah Dwi
Published: June 2023

Omnibus law is a method of forming laws. The use of the omnibus law is often problematic from a democratic aspect. Omnibus law arrangements in Indonesia have been legalized through Law Number 13 of 2022, but it remains a problem regarding participation as a pillar of democracy. Therefore, the concept of comparison is needed for further refinement. This research is normative research with statutory, case study, and comparative approaches. The results of the study are: (1) the application of the omnibus law in Indonesia in the case of the Job Creation Law is undemocratic because it narrows the space for public participation, (2) changes to the Law concerning the Formation of Legislation, especially those relating to participation, representation of participation, and the provision of a two-way information system is a necessity for realizing a democratic omnibus law in Indonesia.
The Psychological Well-Being of Male and Female Students in Tunisia Using the Ryff Scales of Psychological Well-Being
Authors: Bahri Noomen
Published: June 2023

The paper aimed to identify the nature and most important psychological problems suffered by young university students and to identify gender differences in psychological problems. The objective of this study was to investigate the difference in the psychological well-being of male and female Tunisian undergraduate students. In this research, 300 students (150 male and 150 female students) from three Tunisian universities were included as the study sample. Data was collected using the Ryff Scales of Psychological Well-Being. T-test was used to find the difference in psychological well-being between male and female students. The results of the study showed that there is a significant difference between males and females in all measures of the multiple facets of psychological well-being.