bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Factors Forming Attitude towards Brand and Repurchase Intention by Using Brand Ambassadors on the Shopee Online Shopping Platform
Authors: Luthfi Haiban Muhammad , Rimadias Santi
Published: September 2023

The development of online shopping is increasing which is marked by the growth of various kinds of e-commerce, one of which is Shopee. The purpose of this study is to examine and analyze the factors that shape Attitude towards Brand and Repurchase Intention by using Blackpink as a Brand Ambassador on the Shopee online shopping platform. Respondents in this study were consumers who had made a purchase transaction on the Shopee online shopping platform, which amounted to 135 respondents and the data was processed using Smart PLS software. The results of the study explain that Brand Image and Brand Credibility have a positive effect on Attitude towards Brand. Furthermore, there is a positive effect of Endorser Likeability on Attitude towards Brand and there is a positive effect of Attitude towards Brand on Repurchase Intention. Meanwhile, it was found that Endorser Credibility had no effect on Attitude towards Brand, and Brand Image, Brand Credibility, Endorser Credibility, Endorser Likeability had no effect on Repurchase Intention.
IPB University's Strategic Capabilities Dealing with Environmental Turbulence
Authors: Widi Agustina
Published: September 2023

The turbulent environmental conditions in the education industry urgently require a flexible strategic response and strong organizational capabilities. Universities cannot be left behind with their practices which tend to be planned, slow and bureaucratic. The purposes of this study include analyzing the turbulence level of the higher education environment, assessing the condition of IPB University's organizational capabilities, and designing IPB University's strategy based on the value of organizational capability and the level of environmental turbulence. The method used in this study is a qualitative method and sample selection is done by purposive sampling method. The study results show that progressive turbulence in the higher education environment demands service improvements to anticipate customer developments. The capability of IPB University must be continuously encouraged to fit the level of environmental turbulence to gain competitive advantage.
The Effect Of The Sharia Supervisory Board (SSB) And Financial Performance On The Disclosure Of The Islamic Social Report (ISR) Analysis Before And After The Merger
Authors: Auliza Winda , Murniati Murniati
Published: September 2023

This study aims to examine the influence of the sharia supervisory board and financial performance on Islamic Social Reporting before and after the merger to become Bank Syariah Indonesia. Financial performance is proxied using ROA, the population in this study are Islamic banks listed on the Indonesia Stock Exchange operating in 2020-2021. The sampling technique used a purposive sampling technique, and 4 samples were obtained. The analytical method used to test the hypothesis is the Different Test and multiple regression analysis. The results of this study indicate that the sharia supervisory board has effect on Islamic Social Reporting (ISR), while financial performance has effect on Islamic Social Reporting (ISR). The sharia supervisory board and financial performance have an influence on Islamic Social Reporting (ISR).
Ordenar una sociedad mestiza
Authors:   , Oyarzábal María Cecilia
Published: September 2023

La presente obra se propone analizar la interacción entre los indígenas de la jurisdicción de San Salvador de Jujuy y la justicia impuesta por el orden colonial a lo largo del siglo XVII. A través del estudio de caso que supone el abordaje del espacio seleccionado, nos proponemos -como objetivo principal- analizar cómo se conforma una cultura jurídica que consideramos mestiza, entendiendo que el Derecho impuesto por parte de los conquistadores sufrirá una serie de procesos que tendrán como resultado una cultura jurídica nueva, con elementos de diversa extracción, así como de otros que se crearán en ese contexto. Nuestra línea de investigación se proyecta siguiendo la perspectiva de los estudios andinos, la Nueva Historia del Derecho y la Historia Social de la Justicia, recuperando rupturas y continuidades y haciendo especial foco en el espacio de creación que se abrió en ese proceso y las condiciones que lo hicieron posible.
La motivación de los docentes con respecto al desarrollo de la inteligencia artificial
Authors: Franco López Jorge Ariel
Published: September 2023

La educación es un bastión representativo para toda organización social y para cada persona, porque busca obtener mejores condiciones de vida; sin embargo, es de considerar que esta posibilidad se da, en tanto se tenga calidad en el proceso. Hablar de calidad educativa es tener en cuenta múltiples condiciones, con lo que todo intento de análisis debe ser sistémico por su grado de complejidad; es decir, es un problema del pensamiento complejo.
El duelo por suicidio: “esa larga y peligrosa noche del alma"
Authors: Ruiz-Osorio Mario Alberto , Díaz-Facio Lince Victoria Eugenia
Published: September 2023

El texto propone una reflexión derivada de un estudio cuyo objetivo fue comprender cómo se representa la experiencia del duelo en narrativas autobiográficas literarias sobre pérdidas disruptivas, y explorar la función que cumple la escritura en el proceso de duelo. Este artículo se concentra en el eje del duelo por suicidio a partir de la interpretación formal de la memoria Cuando muere el hijo, del escritor Abel Posse (2013). La metodología fue biográfico-narrativa, con enfoque hermenéutico y estrategias de investigación documental. En cuanto a los resultados, la memoria revela algunas particularidades del duelo por suicidio, como son el peso del estigma social, los enigmas que rodean la decisión del fallecido, las preguntas por la participación en el acto, la desestimación del vínculo que se sostenía con el suicida y el perturbador encuentro del cadáver. Es posible concluir que la escritura se torna para Posse en un medio para ordenar la experiencia disruptiva de su duelo y dejar su letra, a modo de sistema de señales, para que otros tengan alguna luz en la oscuridad de esa larga y peligrosa noche.
La decisión de no ser padres: motivaciones desde la trayectoria vital y personal de la pareja
Authors: Correa Ramírez Cristian , Martínez Gallego Sara , Alzate Velásquez Valeria , Castro López Andrea
Published: September 2023

La elección de las parejas alrededor de la no parentalidad se sitúa como parte de un devenir histórico, destacándose un descenso en las tasas de reproducción mundial. Bajo este panorama, la investigación buscó reconocer las razones y nuevos factores que influyen en la elección de algunas parejas de no tener hijos. La investigación se desarrolló bajo un enfoque cualitativo y narrativo, con diseño metodológico fenomenológico hermenéutico; se realizó convocatoria abierta y un muestreo no probabilístico por bola de nieve, del cual se obtuvo, en total, ocho parejas participantes. El análisis de los datos se dio a partir del desarrollo de una matriz categorial inductiva, para dar paso posteriormente a la integración de categorías reflexivas. Los resultados dieron cuenta de cuatro categorías encontradas: motivaciones que surgen desde la historia personal y presente, en el que se identifica una visión crítica del entorno ambiental y social; consciencia alrededor de la parentalidad; relación y dinámica de pareja; y, finalmente, la presencia del auditorio social. Se concluye que la toma de decisiones alrededor de no tener hijos es un elemento esencial para la configuración del vínculo, situado en un marco de temporalidades que envuelve el pasado, presente y futuro de la relación.
Analisis Kelayakan Usahatani Kakao di Desa Kopandakan Dua Kecamatan Lolayan Kabupaten Bolaang Mongondow
Authors: Dosa Muhamad Fahriyaldi , Porajow Oktavianus , Pangemanan Lyndon Reindhart Jacob
Published: September 2023

This study aims to analyze the financial feasibility of cocoa farming in Kopandakan II Village, Lolayan District, Bolaang Mongondow Regency. This research was conducted from October to November 2022. Data collection in the field was carried out by purposive sampling by direct interviews and data from the Central Bureau of Statistics for Bolaang Mongondow Regency, institutions related to cocoa commodity and scientific information from researchers - previous researchers. The variables measured in this study are cocoa production, cocoa prices, investment costs, cocoa operational costs, and cocoa income. The results of the data obtained will then be processed and analyzed in more depth using the analysis of investment criteria. The results of this study indicate that cocoa farming in Kopandakan II Village is feasible. With data obtained from the average Net Present Value of cocoa farming per hectare by farmers using intercropping of Rp. 6,098,333 and Rp. Rp.8,626,871 for cocoa farming using the monoculture method, the Internal Rate of Return for cocoa farming using intercropping is 19% and 20.64% for cocoa farming using monoculture. the Net B/C yield is 1.421 monoculture and 1.277 intercropping, the Payback Period cocoa farming by intercropping for 7 years 8 months and 7 years in cocoa farming by monoculture to return the investment costs incurred.
Sosial Ekonomi Masyarakat di Pesisir Pantai Boulevard 2 Kelurahan Maasing Kecamatan Tuminting Kota Manado
Authors: Amiri Virna , Tambas Jane Sulinda , Pakasi Caroline Betsi Diana
Published: September 2023

Coastal area have slum settlements that are synonymous with a lack of facilities, infrastructure and facilities and can be categorized as uninhabitable houses, and are in locations that are not suitable for formal settlements activities. However, during the presurvey of the houses of the residents of Maasing Village, most of them had fairly good socio-economic conditions and very decent houses to live in. This study aims to determine the socio-economic conditions of the community and describe the socio-economic conditions of the people on the coast. The research was conducted at Boulevard 2, Maasing Tuminting Village, Manado City. The data collection method is a survey. Interview data collection techniques using a questionnaire. The results of the study show that coastal communities have inappropriate social conditions where most of them live under one roof with more than two families, some have a 17x9 house area occupied by twenty people with semi-permanent housing conditions, some have a 6x8 house area occupied by nine people but only has one kitchen. Most of the informants have places to live that are not slums, have very densely populated environmental conditions but still have small vacant lands. The people of the Boulevard 2 coast are not active in organizational activities or the community in the village. However, in the economic condition of the coastal community of Boulevrad 2, Maasing Village has a very good economy, where the income is Rp3.000.000 to Rp8.000.000 per month and most of them have main jobs and even have side jobs.
Analisis Faktor-Faktor Yang Mempengaruhi Pendapatan Pedagang Sayuran Di Pasar Pinasungkulan Karombasan Kota Manado
Authors: Londa Armando Alexander , Porajouw Oktavianus , Manginsela Elsje Pauline
Published: September 2023

The purpose of this study is to analyze the factors that influence the income of vegetable traders in the Pinasungkulan Karombasan market. The type of data in this study is primary data obtained directly from interviews and through questionnaires distributed to respondents, namely vegetable traders at the Pinasungkulan Karombasan market, and also through secondary data from previous research journals. The number of samples in this study amounted to 37 respondents with a census technique according to direct observation during the pre-survey. The results of this study indicate the factors that influence the income of vegetable traders in the Pinasungkulan Karombasan market, namely capital, level of education, length of business and hours of work. Factors that significantly influence are capital and working hours. The level of education and length of business have no significant effect on the income of vegetable traders at the pinasungkulan karombasan market, Manado City.
Rantai Pasok Agroindustri Sabut Kelapa pada PT. Berkat Abadi Korindo Kecamatan Matuari Kota Bitung
Authors: Olad Mikha , Lolowang Tommy Fredy , Tangkere Ellen Grace
Published: September 2023

This study aims to determine the production process of processing, coconut coir  fishing nets and describe the flow of products, information flows and financial flows in the supply chain of fishing nets at PT. Berkat Abadi Korindo, Matuari District, Bitung City. This research was conducted for 2 months from September to October 2022. The sampling method used the purposive sampling method with the purpose and objective of the research, namely by selecting one of the staff/employees at PT. Berkat Abadi Korindo. The research uses primary data obtained from direct observation and interviews with respondents using a questionnaire. The analytical method used in this study is a descriptive analysis with a qualitative and quantitative approach. The results showed that supply chain actors in product flow, information flow and financial flow were farmers, collectors, PT. Berkat Abadi Korindo, expedition services and customers. Product flow in the Jaring Ikan supply chain, namely the supply of raw materials from coconut coir supply farmers to PT. Berkat Abadi Korindo, coconut fiber rope products has been exported to customers using expedition services. The flow of information that flows, namely information about the supply of raw materials from suppliers to factories and then product information from factories to customers. The financial flow that flows is in the form of payments made which pay to suppliers in cash/cash while for customer payments to the factory, namely the transfer payment system.
Tingkat Kepuasan Konsumen Sayuran Organik di Jumbo Pasar Swalayan Manado
Authors: Fiskarina Eva , Sendow Martha Mareyke , Baroleh Jenny
Published: September 2023

This study aims to determine the level of consumer satisfaction of organic vegetables at Jumbo Supermarket Manado. This research was conducted from May 2022 to October 2022. This study uses two types of data, namely primary and secondary data. The method used in sampling is the non-probability sampling technique where the collection of information and knowledge from respondents uses the accidental sampling method. Respondents in this study were consumers who had made a purchase and were willing to be interviewed as many as 30 respondents. The data were analyzed using Likert scale measurements. The results showed that the level of consumer satisfaction of organic vegetables at the Jumbo Supermarket in Manado was categorized as very satisfied, based on the results of the study with an index of 87.29%. Consumers are very satisfied with the price and availability of organic vegetables, freshness (physical appearance of vegetables), place, and quality of service at Jumbo Supermarkets.
Gaya Kepemimpinan Partisipatif Lurah Kelurahan Sario Kotabaru Kecamatan Sario Kota Manado
Authors: Kogoya Orina , Mokalu Benedicta J. , Kalangi Johny A.F.
Published: September 2023

The purpose of the study was to explain and analyze the participatory leadership style of the lurah and the performance of the Sario Kotabaru Urban Village apparatus of Manado City. The research was conducted in April 2022, the research site was at the Sario Kotabaru Manado Urban Village office. This research focuses on the participatory leadership style of the head of Sario Kotabaru Manado Urban Village and focuses on the performance of the head of village and the Sario Kotabaru Manado Urban Village apparatus. Informants consisted of lurah, 4 (four) kelurahan employees, 5 (five) residents of Sario Kotabaru Manado Village. Data collection uses observation, interviews and literature studies. Furthermore, data sources consist of primary data and secondary data and data analysis techniques consist of data reduction, data presentation, and data verification. The data verification process is a stage of testing the validity of the data and the meanings of the data so it is called the stage that determines the truth, strength, and suitability of the data. The results showed that the performance of the lurah and apparatus of Kelurahan Sario Kotabaru Kota Manado generally received positive appreciation from the community because they succeeded in building good performance with the community, remained alert to provide services, and were smart in empowering all potential to ward off COVID-19.
Persepsi Petani Terhadap Pengelolaan Hutan Rakyat Campaka di Kabupaten Minahasa
Authors: Matitaputty Desly Rolando , Langi Martina A. , Walangitan Hengki D.
Published: September 2023

This research aims to determine the farmers' perceptions of managing the Cempaka community forest in Minahasa District. The study was conducted for five months, from December 2022 to April 2023. The selection of respondents was intentional. The data used in this research includes primary and secondary data. Primary data was collected through interviews using questionnaires administered to 98 community forest farmers in Minahasa District. The collected data includes the characteristics of the community forest, such as the respondents' characteristics (ethnicity, gender, age, education level, number of dependents, monthly income, principal occupation, membership in forest farmer groups, and the intensity of extension services), as well as the characteristics of the community forest, such as the applied community forest patterns, land area, land status, and the farmers' perceptions of the management of the Cempaka community forest. The farmers' perceptions were assessed based on their knowledge of Cempaka, and the functions of the community forest were evaluated from four aspects: social-cultural, conservation and ecological, economic, and regulatory. Secondary data were obtained from reports and journal articles that support the research topic. The research findings indicate that the level of perception among community forest farmers in Minahasa District is categorized as high. This means that the farmers have a good understanding of Cempaka and the functions of the Cempaka community forest in terms of social-cultural, ecological and conservation, economic, and regulatory aspects. The cultivation of Cempaka is a genetic legacy that needs to be preserved and passed down to future generations. Therefore, the functions of the community forest should not only be seen from an economic perspective but also in terms of preserving local tree species. Government support in developing the Cempaka community forest is crucial, particularly in terms of policy regulation.
ANALISIS ABILITY TO PAY (ATP) DAN WILLINGNESS TO PAY (WTP) PADA RENCANA PENGEMBANGAN SISTEM PENYEDIAAN AIR MINUM (SPAM) SUMBER AIR WENDIT
Authors: Ayu Masruroh Nanda , Zeta Rahman Herawati
Published: September 2023

Pada Kecamatan Pakis, Kabupaten Malang terdapat sumber air baku Wendit yang memiliki debit potensial sebesar 3.200 ltr/dt yang belum digunakan maksimal, dikatakan belum maksimal dikarenakan tercatat saat ini cakupan layanan pada unit Pakis masih di angka 36,24% saja. Selain itu di Kecamatan Singosari, Kabupaten Malang yang jaraknya tidak jauh dari sumber air Wendit masih banyak terdapat daerah krisis air bersih dikarenakan cakupan pelayanan yang rendah berkisar 23,62% saja, padahal minat berlangganan disana cukup tinggi. Dikarenakan daerah Kabupaten Malang berada pada dataran tinggi, dilakukan analisa terhadap indikasi selisih elevasi pada Desa yang cakupan pelayanannya rendah sehingga dapat diketahui apakah selisih elevasi tersebut menjadi salah satu faktor cakupan layanan rendah saat ini. Metode yang dilakukan pada penelitian ini yaitu metode survey dimana peneliti melakukan survey dengan penyebaran kuisioner kepada sebanyak 30 responden yang merupakan masyarakat setempat terkait pelayanan PDAM Tirta Kanjuruhan serta metode deskriptif dengan pendekatan penelitian menggunakan metode studi kasus. Hasil penelitian ini menunjukan bahwa cakupan layanan rendah, adanya debit potensial dari sumber air Wendit, ketinggian permukaan tanah, minat responden dalam berlangganan SPAM, serta ATP WTP masyarakat di unit Pakis dan Singosari menjadi faktor-faktor diperlukannya pengembangan SPAM di unit Pakis dan Singosari. Diketahui bahwa nilai WTP masih jauh dibawah dari nilai ATP masyarakat Kabupaten Malang.
PENGARUH PERLINTASAN SEBIDANG KERETA API TERHADAP KARAKTERISTIK LALU LINTAS
Authors: Jayanggi Rahmad , Tjahjani A.R. Indra
Published: September 2023

Satu dari sekian banyak permasalahan transportasi, yaitu antrean panjang di sekitar pintu perlintasan kereta api. Keadaan pun pun dialami pula oleh Perlintasan Kereta Api di Jalan Kebon Pedes, Kota Bogor. Kapasitas kendaraan yang melintas mendekati perlintasan antara sebidang jalan raya dan rel kereta api cukup besar sehingga memunculkan penundaan maupun antrean kendaraan yang sangat besar pada saat jam puncak di pagi maupun sore hari. Selain itu resiko kemungkinan kecelakaan cukup besar. Dari hasil analisis wilayah pengamatam awal yakni ruas yang tidak terpengaruh hambatan rumble strips nilai kecepatan arus bebas Ūf 28,238 km per jam, nilai kerapatan macet Dj 32,720 smp per km dan volume maksimalnya 230,987 smp per jam dan pada wilayah pengamatam akhir yakni ruas yang terpengaruh hambatan rumble strips nilai kecepatan arus bebas Ūf 20,037 km per jam, nilai kerapatan macet Dj 39,134 smp per km dan volume maksimalnya 196,032 smp per jam. Terjadinya keadaan antrean dan tundaan maksimal selama rentang waktu 08:09:07 – 08:13:24 : menciptakan waktu untuk melepaskan ta = 1217 detik, waktu dalam memulihkan tb = 2692 detik, panjang antrean maksimal = 2924 meter, jumlah kendaraan antre N = 68 smp, dan rerata tundaan selama 162 detik.
INTEGRATED APPROACH TO ACCOUNTING ENVIRONMENTAL FACTORS IN MODELS OF THE CURRENT DISTRIBUTION AND CLIMATIC DYNAMICS OF AMBROSIA ARTEMISIIFOLIA L. IN THE CAUCASUS
Authors: PSHEGUSOV R. H. , CHADAEVA V. A.
Published: September 2023

Current climate change, habitat degradation and road network development contribute to the invasion of alien plant species in areas of more northern latitudes and higher altitudes. Using the maximum entropy method (Maxent), we built the spatial distribution models of Ambrosia artemisiifolia , considering abiotic, biotic and anthropogenic factors, and area accessibility. Maps of the species current distribution in the Caucasus and its range dynamics according to the climate change scenarios were constructed. The most important variables determining A. artemisiifolia spatial localization in the region were as follows: distance to roads (not more than 0-5 m), terrain roughness (gentle areas) and humidity (climate from semi-arid to pergumid). The 0-5 m distance is also characterized by the area accessibility factor (species dispersal capacity), which contributed about 47% to the final model. Species dispersal beyond roadsides was hindered by forests and meadows with the probability of A. artemisiifolia occurrence not exceeding 0.01%. The species core ranges were predicted in foothills and low mountains of the Western and Central Caucasus, Western and Central Transcaucasia, the northwestern Lesser Caucasus and the Caspian Sea coast. The species invasion in highlands could occur along the gentle river valleys that concentrate the main mountain roads. According to the pessimistic and optimistic climate change scenarios, by 2100 the decline in optimal A. artemisiifolia habitats will be 87 and 27%, respectively, and will affect mainly the plain areas of the currently most humid regions. The main core ranges were predicted in the middle mountains and highlands of the Caucasus.
GENOTYPIC VARIABILITY OF ACER NEGUNDO L. ALONG THE TRANS-SIBERIAN RAILWAY
Authors: VINOGRADOVA Yu. K. , GALKINA M. A.
Published: September 2023

The study of intraspecific variability of alien plants is crucial for revealing the patterns of their microevolution in the secondary distribution range and predicting the possibility of further dispersal and the ability to invade natural plant communities. It is still unclear how a genetically impoverished initial invasive population forms a taxon with a range exceeding the natural range of the species and, therefore, adapted to more diverse ecological and climatic conditions. Boxelder, Acer negundo L., is a remarkable object of study in this respect. The secondary distribution range of this North American species covers all regions of our plane excluding Antarctica. In Russia it spread from Kaliningrad to Vladivostok, formed invasive populations in all eight Federal Districts and was included in the TOP 100 of the most aggressive invasive species of the country. The intraspecific variability of its biomorphological characters was studied by us earlier, and the results of the study of genotypic variability are presented in this article. Invasive populations of A. negundo located along the Trans-Siberian Railway from Moscow to Vladivostok (9288 km) were examined. We isolated DNA from 38 specimens collected along the Trans-Siberian railway in Vladimir and Kostroma Regions, Republic of Tatarstan, Perm Region, Novosibirsk Region, Krasnoyarsk Territory, Amur Region, and Primorskii Territory. By the ITS 1-2 nuclear DNA site, specimens of Acer negundo from the Russian part of the secondary distribution range showed very high similarity with each other, but with 100% bootstrap support separated from specimens from the natural distribution range. According to the chloroplast high-variable trnL-trnF site, the specimens were divided into two clades that weakly correlated with the geographical origin of the specimen. Separate subclades with high bootstrap support are formed by the plants: 1) from Tatarstan (Kazan and Nizhnekamsk), 2) from Perm and Novosibirsk, and 3) samples from Krasnoyarsk. The haplotype network constructed at the trnL-trnF site also demonstrated the genetic specificity of the samples from Tatarstan. We hypothesized that only a few genotypes of A. negundo with a high degree of invasive activity were dispersed along the Trans-Siberian Railway (and possibly throughout all Russia). Other genotypes, including those that entered the territory of the former Russian Empire earlier, have not shown the ability to invade natural plant communities and occur rather rarely.
Complementary Therapy: Foot and Hand Massage on Reducing Post Laparotomy Pain Levels with Adenomyosis (Case Study)
Authors: Bercy Alfy , Desmarnita Ulty
Published: September 2023

Adenomyosis is a disorder of the reproductive system characterized by tissue that lines the uterus growing into the muscular wall of the uterus. At the time after the postoperative patient complained of pain postoperative laparotomy cystectomy. The application of the intervention that will be given to treat pain is the application of foot and hand massage to reduce post-laparotomy pain. The aim of the study was to apply foot and hand massage to reduce post-laparotomy pain levels with adenomyosis. The research method is in the form of evidence based practice. The intervention was carried out for 3 days, with 2 sessions each morning and evening, with pain scale measurements using the NRS and WBFPRS. Intervention is carried out before the administration of medical therapy. Intervention is only done with one sample. The results of the study described a decrease in pain levels after massage. The results obtained by the patient seemed relaxed and able to do activities independently. It can be concluded that foot and hand massage can reduce pain levels in post-laparotomy patients, with a pain scale of NRS 2 and WBFPRS 2.
Effect of Pre-harvest Sprays of Neem (Azadirachta indica A. Juss) Seed Products and Pirimiphos-methyl and Harvest Time Modification on Infestation of Cowpeas by Storage Bruchids in the Field and Store in Maiduguri, Nigeria
Authors: KABEH J. D. , LALE N.E.S.
Published: September 2023

The efficacy of combining three harvesting times with pre-harvest spray of two botanicals obtained from neem seeds and the synthetic contact insecticide pirimiphosmethyl in reducing field infestation of cowpea pods was investigated in Maiduguri located in the Sudan savanna zone of northeastern Nigeria during the cropping seasons of 2001 and 2002. The harvesting times included harvesting dry cowpea pods 3 weeks after ripening (WAR) commenced, as well as 4 and 5 WAR. Neem seed oil (NSO) was mixed with water and applied at the rate of 20 ml/L, aqueous neem seed extract (ANSE) applied as filtrate obtained from soaking neem powder in water at the rate of 50 g/l and pirimiphosmethyl (Actellic 25 EC)(PMM) was applied at the rate of 2 ml/L to plants in experimental plots at each of the harvesting times. Unsprayed plots were included in the trials to serve as control. In both cropping seasons, pods from plots protected with the botanicals/insecticides were infested significantly less with bruchid eggs than pods from unsprayed plots. In the 2002 cropping season. storage bruchid eggs infested results showed that pods that were harvested 5 WAR significantly more than pods that were harvested 3 or 4 WAR. The percentage of insecticide-protected pods that were infested with bruchid eggs was significantly lower than that of unprotected pods in the 2001 cropping season. Bruchid infestation generally increased with delayed harvesting in both seasons. In 2001, percentage of pods that were protected with ANSE end harvested 5 WAR were infested significantly more with bruchid eggs than pods
Nutrient Composition and Processing of the Variegated Grasshopper Zonocerus variegatus (L.)(Orthoptera: Pyrgomorphidae) for Human Consumption
Authors: IDOWU M. A, , IDOWU A. B , FASEKI. M. F.
Published: September 2023

Grasshopper, Zonocerus variegatus (L), was processed using five different methods and evaluated for sensory quality, nutrient and mineral composition. Boiling, removal of wings, decapitation, washing, draining, frying or roasting gave acceptable products to tasters. The raw insect, which contains 64.28±0.70% moisture, when processed had values of 61.65±0.20%, 20.73±0.54%, 4.25±0.70%, 1.45±0.02%, 1.25±0.40%, 150ppm, 75.6ppm, 70.3ppm and 33ppm for its crude protein, ether extract, carbohydrate, crude fibre, ash, potassium, magnesium, copper and sodium contents respectively. The insect was however, found to be poor in its iron and calcium contents. Z. variegatus may serve as a non-conventional protein source for human consumption if properly processed.
A Multi-task Deep Learning Algorithm for Sleep Stage Scoring and Sleep Arousal Detection
Authors: Huo Jiayan , Li Huayu , Roveda Janet , Quan Stuart F , Li Ao
Published: September 2023

Sleep plays a crucial role in our overall health and well-being. Analyzing sleep stages and the frequency of arousals can enhance our understanding of sleep quality and help protect individuals' sleep health. This study delves into the application of deep learning for the simultaneous tasks of sleep staging and sleep arousal identification using the single-lead electrocardiogram (ECG) signal. A deep learning model was developed and evaluated on the Multi-Ethnic Study of Atherosclerosis (MESA) dataset, demonstrating promising performance. The model achieved comparable or improved results compared to existing approaches. It was able to predict sleep stages with an average accuracy of 0.79 ($\kappa=0.68$) and arousal with an area under receiver operating characteristic (AUROC) of 0.935. Notably, the model's fairness across different cohorts based on sex, age, and ethnicity was explored, revealing consistent performance regardless of these factors. The model's ability to automatically extract relevant features, such as instantaneous heart rate and heart rate variability, was investigated, shedding light on its interpretability. 
Privacy-Preserving Probabilistic Data Encoding for IoT Data Analysis
Authors: Zaman Zakia , Xue Wanli , Gauravaram Praveen , Hu Wen , Jha Sanjay K.
Published: September 2023

In this research, we have proposed a novel differentially private Bloom Filter data encoding technique, that enables the use of the Deep Learning Algorithm for downstream analysis. 

We have used public datasets to evaluate the proposed method.
Exploiting the Quantum Advantage for Satellite Image Processing: Review and Assessment
Authors: Otgonbaatar Soronzonbold , Kranzlmüller Dieter
Published: September 2023

This article examines the current status of quantum computing in Earth observation (EO) and satellite imagery. We analyze the potential limitations and applications of quantum learning models when dealing with satellite data, considering the persistent challenges of profiting from quantum advantage and finding the optimal sharing between high-performance computing (HPC) and quantum computing (QC). We then assess some parameterized quantum circuit models transpiled into a Clifford+T universal gate set. The T-gates shed light on the quantum resources required to deploy quantum models, either on an HPC system or several QC systems. In particular, if the T-gates cannot be simulated efficiently on an HPC system, we can apply a quantum computer and its computational power over conventional techniques. Our quantum resource estimation showed that quantum machine learning (QML) models, with a sufficient number of T-gates, provide the quantum advantage if and only if they generalize on unseen data points better than their classical counterparts deployed on the HPC system and they break the symmetry in their weights at each learning iteration like in conventional deep neural networks. We also estimated the quantum resources required for some QML models as an initial innovation. Lastly, we defined the optimal sharing between an HPC+QC system for executing QML models for hyperspectral satellite images. These are a unique dataset compared to other satellite images since they have a limited number of input qubits and a small number of labeled benchmark images, making them less challenging to deploy on quantum computers.
Exploiting the Quantum Advantage for Satellite Image Processing: Quantum Resource Estimation
Authors: Otgonbaatar Soronzonbold , Kranzlmüller Dieter
Published: September 2023

We first review the current state of the art of quantum computing for Earth observation (EO) and satellite images. There are the persisting challenges of profiting from quantum advantage, and finding the optimal sharing between high-performance computing (HPC) and quantum computing (QC), i.e. the HPC+QC paradigm, for computational EO problems. Secondly, we assess some parameterized quantum circuit models transpiled into a Clifford+T universal gate set, where the Clifford+T quantum gate set sheds light on the quantum resources required for deploying quantum models either on an HPC system or several QCs. If the Clifford+T quantum gate set cannot be simulated efficiently on an HPC system then we can apply a quantum computer and its computational power over conventional computers. Our resulting quantum resource estimation demonstrates that Quantum Machine Learning (QML) models having a sufficient number of T-gates provide the quantum advantage if and only if they generalize on unseen data points better than their classical counterparts deployed on the HPC system and they break the symmetry in their weights at each learning iteration like in conventional deep neural networks. As an initial innovation, we estimate the quantum resources required for some QML models. Secondly, we define the optimal sharing between an HPC+QC system for executing QML models for Hyperspectral Satellite Images (HSIs); HSIs are a unique dataset compared to multispectral images to be deployed on quantum computers due to the limited number of their input qubits, and the commonly used small number of labeled benchmark HSIs.
The Usage of Convolutional Neural Networks to Classify Brain Tumors in MRIs
Authors: Patel Jay
Published: September 2023

Data was taken and put into a CNN model in which a diagnosis was predicted with ~95% accuracy.
The Large Language Model (LLM) Paradox: Job Creation and Loss in the Age of Advanced AI
Authors: Wang Yifei
Published: September 2023

The dawn of the 21st century has witnessed groundbreaking advancements in artificial intelligence (AI), revolutionizing multiple domains from healthcare to finance, and reshaping the socio-economic landscape. A significant contributor to this paradigm shift is the development of Large Language Models (LLMs), which have emerged as powerful tools in understanding and generating human-like text. As with any technological disruption, LLMs prompt a pertinent question: As these models continue to permeate various industries, what implications do they hold for the global workforce? Will they serve as a catalyst for mass job displacement, or could they unlock unprecedented avenues of job creation? This article delves into this crucial debate, dissecting the dual-edged impact of LLMs on the world of employment [1,2].
Enhancing Speech Rehabilitation: Calibrating 3D-CNN Lip Reading Models for Higher Single User Accuracy to Improve Communication in Aphonia and Aphasia Cases
Authors: Kashyap Jai
Published: September 2023

Automated lip-reading systems have the potential to greatly improve speech recognition and communication for individuals with speech or hearing disabilities. People with aphasia, aphonia, dysphonia, voice disorders and trouble swallowing have limited speaking ability and can be assisted by lipreading technology. Traditional approaches to lipreading have relied on hand-crafted features and statistical modeling techniques, which have limitations in capturing the complex spatiotemporal dynamics of lip movements. Deep learning approaches have shown promise in addressing these limitations by extracting features from data and have achieved state-of-the-art results in various speech-related tasks. In this paper, a 3D Convolutional Neural Network (3D-CNN) is proposed as an approach to automated lip reading. This system takes a video of a person speaking and processes it through a 3D-convolutional layer to extract spatial-temporal features from the video frames. The system uses deep learning algorithms to learn the mapping between lip-movements and corresponding phonemes, enabling it to recognize spoken words. The approach is evaluated on visual recordings of spoken words, the MIRACL-VC1 dataset. It contains 10 words and multiple instances of each. The proposed model achieves 99.0%training accuracy on the dataset. The testing accuracy achieved is 61.3%, indicating model overfitting and a high “speaker-dependency”. A dataset was self-created using videos of one speaker. The model achieved an 89.0% training accuracy, and an 83.0% testing accuracy on this dataset. Both models are then evaluated on user input video. The proposed approach has applications in speech therapy, speech recognition, and translation for those with speech and voice disabilities.

The human participant in this research is the researcher/author.
Advancing Personalized Learning with Multi-modal Embedding Open Learner Model and GPT Prompt
Authors: Li Jie
Published: September 2023

The Generative Pre-trained Transformer (GPT) plays a pivotal role in driving advancements and innovation in the field of Artificial Intelligence in Education (AIED) due to its remarkable capabilities in understanding, reasoning, and generating. Further refinement can enrich the model's understanding of domain-specific knowledge, and enhances the capabilities of GPT for AIED. However, there was a lack of studies closely incorporate the application of the GPT and AI with educational theories. Some research studies have been extensively explored and yielded favorable results. For instance, the integration of AI with Open Learner Models (OLMs) implements AIED that provides learners with insights into their progress and aligns with their learning objectives. Despite these, existing methods still encounter several challenges that impact their practicality. Such as, employing a single neural network to store OLM's data renders continuously modifying difficult, as well as hinders scalability to encompass larger knowledge without substantial augmentation of the neural network's capacity. Furthermore, given the semantics explicitly represented within the OLM, the neural network encounters difficulties in comprehending the nuanced interdependencies among them. These challenges can result in suboptimal performance when generating meaningful insights from the data in AI tasks, and they can also lead to security issues. To address these challenges, we introduce the first Multi-modal Embedding Open Learner Model (MeOLM) framework, which integrates course embeddings, OLM embeddings, multi-modal embedding module, and task-specific modules. It works with GPT to enhance personalized learning. It maps OLM's data with implicit neural networks as multi-modal embeddings. This approach enhances the capturing of intricate relationships between each embeddings. Within the MeOLM framework, we introduce an efficient hybrid data structure that combines embeddings using a hierarchical octree structure. This facilitates the rapid allocation and access of embeddings, which in turn benefits downstream tasks such as knowledge graph completion, relation extraction, and dynamic embeddings management. Furthermore, we integrating the MeOLM with Biggs' constructive alignment, which holds significant influence in education, to align the learning objectives of a subject with its Teaching and Learning (T&L) activities and assessments. The MeOLM framework enables context-aware explanations and interactions, fostering learner engagement and understanding, identifying patterns in learning behaviors, and adjusting pathways.
Synergy in Technology How Generative AI Augments the Capabilities of Customer Data Platforms
Authors: Dhoni Pan
Published: September 2023

In an era marked by data-driven decision-making, Customer Data Platforms (CDPs) have emerged as pivotal tools for aggregating and analyzing customer data. However, as these platforms grapple with increasingly complex data sets and real-time customer engagement demands, there is a pressing need for more advanced, scalable solutions. This study explores the synergy between Generative Artificial Intelligence (AI) and CDPs, aiming to understand how the integration of generative algorithms can augment the capabilities of these platforms. Employing a multi-method research approach, including case studies, empirical analyses, and expert interviews, this paper investigates various applications of Generative AI within CDPs, such as data augmentation, real-time decision-making, and customer personalization. Moreover, the ethical implications of using generative algorithms, especially concerning data privacy and security, are critically examined. The study reveals that Generative AI can significantly enhance the functionality, performance, and efficiency of CDPs while also posing new questions around ethical considerations. Our findings offer invaluable insights for businesses, marketers, and technologists seeking to leverage the synergistic potential of these two advanced technological paradigms. 
Design and Implementation of a Fuzzy Logic-based Personalized Daylight Glare Index (DGI) Control System for Aircraft Cabin Windows
Authors: Liu Jasper , Vashishtha Kritika , Xi Fengfeng (Jeff)
Published: September 2023

The aim is to take full advantage of the natural sunlight inside the aircraft cabin. The paper presents the design of an intelligent window system for aircraft cabins, aiming to enhance the flight experience by automatically maintaining a personalised comfortable light level by changing the transparency of the electrochromic window. The system utilizes an adaptive Neural Fuzzy Inference System (ANFIS) to create personalized light levels, considering factors such as gender, age, activity, and Daylight Glare Index (DGI). The light level is controlled through a Proportional-Derivative (PD) based controller, which adjusts the transparency of the electrochromic window to achieve and maintain the desired lighting conditions. The automatic transparency control of the window and controller performance is realised in the test chamber.  
Neural Networks-Based Approach to Solve Inverse Kinematics Problems for Medical Applications
Authors: Korol Anna , Rodzin Taras , Zabava Kateryna , Gritsenko Valeriya
Published: September 2023

Goal: Motion capture is used for recording complex human movements that is increasingly applied in medicine. We describe a novel algorithm of combining a machine learning approach with biomechanics to enable robust analysis of motion capture data to obtain joint angles. Methods: A multilayer perceptron and a recurrent neural network were compared in their capacity to estimate the joint angles of the human arm. The networks were pre-trained using a kinematic model of the human arm. We evaluated our models on a dataset containing movements with three degrees of freedom comprising wrist flexion/extension, wrist abduction/adduction, and hand pronation/supination. Results: A recurrent neural network model with long short-term memory architecture can solve the inverse kinematics problem for three rotational degrees of freedom with the least error; it performed faster than real time. Conclusions: This shows that it is feasible to rely on pre-trained neural networks for real-time calculation of joint angles.
Multi-Bin Breathing Pattern Estimation by Radar Fusion for Enhanced Driver Monitoring
Authors: Gharamohammadi Ali , Pirani Mohammad , Khajepour Amir , Shaker George
Published: September 2023

Monitoring the status of the driver is a crucial aspect of health monitoring inside vehicles as it helps to identify potential health or safety risks that could affect a driver's ability to operate a vehicle safely. This includes monitoring for fatigue, distraction, or impairment, among other things, which can potentially cause car crashes. Although many solutions for health monitoring in private vehicles have been proposed, the majority of them are inconvenient to use or have the risk of leaking private information. Radars have the potential to address the above drawbacks by their inherent privacy protection and contactless operation in addition to their high accuracy, convenience, affordable price, and resilience to environmental factors. Among many possible radar configurations, millimeter FMCW radars can accurately detect range and monitor displacements that are essential in breathing pattern monitoring. Breathing pattern monitoring is one of the key signatures of the driver’s health. An accurate estimation of the breathing pattern enables the detection of breathing abnormalities, including tachypnea, bradypnea, biot, cheyne–stokes, and apnea. The breathing pattern can be estimated from both the chest and abdomen. For this purpose, we employed two 60 GHz FMCW radars. The proposed algorithm is capable of detecting the mentioned breathing abnormalities through breathing rate (BR) estimation and breath-hold period detection. In addition, the proposed method in this paper estimates BR based on the multiple range bins. We conducted a study on the human radar geometry problem inside a vehicle to determine the accurate number of range bins for BR estimation. The experimental results demonstrate a maximum BR error of 1.9 breaths per minute using the proposed multi-bin technique. In addition, the dual radar fusion system can detect breath-hold periods with minimal false detections.