bluuebunny/crossref_metadata_2025 huggingface dataset:
Association of Socio-economic Profile of Farmers with Perception towards Soil Health Card in Surajpur District (C.G.)
Authors: Yadav Atul Kumar , Singh Y. K. , Patel Pushpak , Bishi Jay Prakash
Published: December 2023

Soil test based nutrient management has emerged as a key issue in efforts to increase agricultural productivity and production. The optimal use of nutrients, based on soil analysis, can improve crop productivity and minimize nutrient waste, thus minimizing impact on the environment. The study was conducted in Surajpur District of Chhattisgarh, with 120 respondents. The finding indicated that majority of farmers had a high perception level 40 precent followed by medium 35 precent and only 25 precent farmer had low perception level. Education, Farming experience, land holding, Annual Income, Extension Contact, Mass Media Exposure, Scientific Orientation and Innovativeness were significantly related and age, Occupation, social participation were found non significantly relationship with perception level.
Comparative Performance Analysis of CRIDA Wheel Hoe and Traditional Hand Hoe in Vegetable Crops Inter-cultivation
Authors: Suneetha, B.  , Durga Prasad, N. V. V. S.  , Purnima, K. S.
Published: December 2023

In agriculture, women are typically employed in labor-intensive, mostly mechanized processes that require a lot of drudgery.As part of KVK, Darsi's Front Line Demonstration (FLD) programme, farm women in adopted villages in the Prakasam District of Andhra Pradesh participated in an inter-cultivation study on vegetable crops (Chilli, Tomato and Okra) using CRIDA wheel hoes during the years 2019-20 and 2020-21 in comparison with the traditional weeding using hand hoe.It was clearly depicted that CRIDA wheel hoe hasproved efficient on time and output as compared with traditional hand hoe.CRIDA wheel hoe resulted in a higher output capacity of 116.3 m2/hr as opposed to only 62.6 m2/hr with a regular hoe.For CRIDA wheel hoe, the percentage increase in output was 85.78 %.In comparison to the traditional hand hoe method, labour wages per acre were reduced to Rs. 1700, weeding time per acre was shortened from 8.5 hours to 5.5 hours, overall pain rate decreased from 8.1 to 3.1, and musculoskeletal problems (MSP) decreased from high to low. CRIDA wheel hoe recorded drudgery index score of 56.  Whereas, in traditional practice (hand hoe) maximum drudgery with drudgery index scoreof 81 was observed.
Assessment of the Effect of Different Bio-Stimulants on the Growth, Quality, and Yield of Strawberries in a Sub-Tropical Climatic Region: A Case Study
Authors: Dekhane Swapnil S. , Kumar Narendra , Pisal R. R.
Published: December 2023

This case study investigates the impact of different bio-stimulants, including Novel prime organic liquid nutrient, Vermi wash, and Cow urine, on vegetative growth, flowering, and fruit yield of sweet sensation variety of strawberry plants. An intensive research work was carried out at an experimental land located in north Konkan zone of Maharashtra, India. The experiment employs a Completely Randomized Design (CRD) with three replications to evaluate growth at various stages and yield parameters. The results demonstrate that the strategic application of 2% concentration of Novel prime organic liquid nutrient and 2% Vermiwash significantly improves the plant growth and yield of strawberry. This treatment remarkable yielded 5418 kg/ha, while the appreciable yield achieved to 4733 kg/ha for the Vermiwash treatment. The results also highlight the potential of sustainable strawberry cultivation and suggesting its viability for countries that traditionally depend on rain-fed crops. This may significantly improve the pattern of agricultural practices in those regions. Strawberry cultivation is an economically significant horticultural practice worldwide. Enhancing the growth, quality, and yield of strawberry plants is crucial for improving production and profitability.
Artificial intelligence trend analysis in German business and politics: a web mining approach
Authors: Dumbach Philipp , Schwinn Leo , Löhr Tim , Elsberger Tassilo , Eskofier Bjoern M.
Published: December 2023

Current research on trend detection in artificial intelligence (AI) mainly concerns academic data sources and industrial applications of AI. However, we argue that industrial trends are influenced by public perception and political decisions (e.g., through industry subsidies and grants) and should be reflected in political data sources. To investigate this hypothesis, we examine the AI trend development in German business and politics from 1998 to 2020. Therefore, we propose a web mining approach to collect a novel data set consisting of business and political data sources combining 1.07 million articles and documents. We identify 246 AI-related buzzwords extracted from various glossaries. We use them to conduct an extensive trend detection and analysis study on the collected data using machine learning-based approaches. This study successfully detects an AI trend and follows its evolution in business and political data sources over the past two decades. Moreover, we find a faster adoption of AI in business than in politics, with a considerable increase in policy discourse in recent years. Finally, we show that the collected data can be used for trend detection besides AI-related topics using topic clustering and the COVID-19 pandemic as examples.
Boundary-layer approach to the linear karren instability
Authors: Djambov Simeon , Gallaire François
Published: December 2023

The present paper concerns the linear fate of transverse perturbations in a gravity-driven, thin-film flow over a soluble substrate. We propose a reduced-order model, based on a boundary-layer treatment of the solute transport and a depth-integration of the Stokes equations, using two extended lubrication methodologies found in the literature. We obtain a closed-form dispersion relation, which we compare to a previous, fully resolved analytical investigation (Bertagni and Camporeale, J. Fluid Mech., vol. 913, 2021, A34). The results allow us to distil the essential physical mechanisms behind the instability.
Perceived treatment urgency of common mental disorders in the German population
Authors: Koens Sarah , Klein Jens , Scherer Martin , Strauß Annette , Härter Martin , Schäfer Ingo , Lüdecke Daniel , von dem Knesebeck Olaf
Published: December 2023

Perceived treatment urgency of mental disorders are important as they determine utilization of health care. The aim was to analyze variations in perceived treatment urgency in cases of psychosis (adolescents), alcoholism (adults), and depression (older adults) with two levels of severity each by characteristics of the case and the respondents. A telephone survey (N = 1200) with vignettes describing cases of psychosis, alcoholism, and depression was conducted in Hamburg, Germany. Vignettes varied by symptom severity and sex. Perceived treatment urgency was assessed by three items. A sum scale was calculated. Linear regression models were computed to analyze differences in perceived urgency by characteristics of the case (severity, sex) and the respondents (sex, age, education, migration background, illness recognition, personal affliction). Perceived treatment urgency was significantly higher in severe cases and varied by education. Additionally, regarding psychosis, estimated urgency varied significantly by correct illness recognition. With regard to depression, perceived urgency differed significantly by age and correct illness recognition. Interaction effects between case severity and sociodemographic characteristics of the respondents, personal affliction, and correct recognition of the disorder were found. The identified differences should be considered in the development of interventions on mental health literacy with regard to adequate urgency assessment.
Impact of different soil tillage added bio-ameliorant on nutrient concentration and growth maize-soybean intercropping adaptive to climate change in dry land
Authors: Astiko Wahyu , Ernawati Ni Made Laksmi , Silawibawa I. Putu
Published: December 2023

Climate change hurts the production of food crops, especially maize, and soybeans, on dry land. This climate change affects the concentration of nutrients and the growth of maize-soybean intercropping on dry land. This study aimed to determine the impact of different soil tillage added with bio-ameliorant on nutrient concentrations and the growth of climate change adaptive maize-soybean intercropping in the dry land of North Lombok, Indonesia. The research was conducted from May to July 2023 in West Pemenang Village, Pemenang District, and North Lombok Regency. The study used an experimental method in the field using a randomized block design by testing five tillage techniques i.e., Oo: without tillage, O1: without tillage, only sprayed with pre-growth herbicides before planting, O2: minimum tillage is only hoeing, O3: simple tillage and leveling, O4: intensive tillage by hoeing, loosening, and leveling. The results showed that the intensive processing technique, complete with the addition of bio-ameliorant, significantly affected the nutrient concentration and growth of the maize-soybean intercropping that was adaptive to climate change in dry land. Plants can be improved to be more adaptable to climate change through intensive tillage and adding bio-ameliorants.
Enhancing chemical properties and maize yield through dolomite application on rock phosphate-amended oxisol
Authors: Kasno Antonius , Nurida Neneng , Siregar Adha Fatmah , Samsun Ahmad , Widowati Ladiyani Retno , Husnain
Published: December 2023

Improving soil quality is vital so plants can adapt to climate change. Indonesia's acid soils cover about 147.5 million hectares, and are generally acidic, with low levels of calcium and magnesium, and high levels of aluminum. This study aims to study the effect of dolomite application on acid upland soils that have been applied with rock phosphate to improve soil chemical properties and increase maize yields. The research was conducted in Jati Agung using a randomized block design with 5 treatments and 5 replications. The treatment consisted of 5 application levels of dolomite: 0, 500, 1000, 1500, and 2000 kg ha-1. The size of the experimental plot was 10 m x 10 m. Hybrid maize varieties were used as indicators. The results showed that applying dolomite increased soil pH, Ca, Mg, and K levels and decreased exchangeable and Al saturation. It also increases plant height, maize yield, and biomass. The implication of this study is that the application of dolomite 1000 kg ha-1 after rock phosphate is applied can improve soil chemical properties in acid soils.
Selection of M3 mutant strains from 200 gy gamma irradiation on Cempo Ireng
Authors: Nandariyah  , Sukaya  , Sutarno  , Riyatun  , Widianingrum Yasmin Mutia
Published: December 2023

Climate change is a serious issue that can disrupt crop production and pest resistance, especially in rice crops. To tackle climate change, plant breeding can be employed to develop new characteristics that are resistant, using physical mutagenesis like gamma irradiation. Cempo Ireng is one type of rice in Indonesia with plant properties such as tall plant, long harvesting periods, and susceptibility to brown planthopper attacks. The research aims to obtain information and select M3 mutant strains with properties of shorter plants, early harvesting, and brown planthopper resistance. The study was conducted from February-July 2022 in Klaten Regency, Central Java, Indonesia. The research material consisted of 3 mutant strains of black rice M3(GH8'), M3(GH51'), and M3(GH52'), with the control variety of Cempo Ireng. The experimental design used was a Randomized Complete Block Design without replication. Data were analyzed descriptively and used t-test, at a significance level of 5%. The results showed that M3 mutant black rice had better growth and yield components than the control plant. Brown planthopper attacks of M3 mutant strains decreased to 24% compared to the control.
The effect of antagonistic microbial and seed bulb-size on fusarium wilt and yield of shallot
Authors: Puspita Sari Gracela Nanda , Pustika Arlyna B. , Solichah Chimayatus , Wicaksono Danar , Widyayanti Setyorini , Sudarmaji  , Yolanda Kiki
Published: December 2023

The effort to suppress the development of fusarium wilt disease is by a consortium of antagonistic microbes. This study aimed to determine the effect of microbial consortium and bulb size on the development of fusarium wilt disease and the effect on plant resistance of small bulbs to fusarium wilt. This research was conducted on coastal land, Sri Gading Village, Sanden District, Bantul Regency. The experiment used a split-plot with 2 factors : seed treatment and bulb size with 8 treatments. The factors include K1U1: Consortia microbial and small bulbs, K1U2: Consortia microbial and medium bulbs, K1U3: Consortia microbial and big bulbs, K1U4: Consortia microbial and mixed bulbs, K2U1: Without consortia microbial and small bulbs, K2U2: Without consortia microbial and medium bulbs, K2U3: Without consortia microbial and big bulbs, K2U4: Without consortia microbial and mixed bulbs. Data were analyzed statistically SAS (Statistical Analysis System) ANOVA 5% and further tested with DMRT (Duncan's Multiple Distance Test) at the 5% level of significance. The percentage data which is not normally distributed are transformed to transformation arcsin√x. The results showed there was no interaction between the use of microbial consortium and bulb size on the development of fusarium wilt disease and yield of shallot. The giving of consortium antagonists could not increase plant resistance to fusarium wilt and yield. The decline in production is generally related to climate change which has an impact on increasing plant diseases. There is a need for cultivation adaptation in dealing with the effects of climate change.
Effect of jajar legowo planting system on microclimate factors, growth, and rice yield
Authors: Maghfiroh Imawati , Supriyadi Supriyadi , Muliawati Endang Setia
Published: December 2023

Climate change, especially global warming, affects plant physiology and crop yields. Jajar Legowo (Jarwo) planting system, with the existing planting alleys that some farmers have applied, needs to be sufficiently identified for changes in microclimate factors, growth, and rice yield. This study aims to identify the microclimate factors, growth, and rice yield in this planting system. The research was designed through field experiments in rice fields with the Jarwo 2:1, 3:1, and 4:1 planting systems. The research variables included microclimate factors (temperature, humidity, and light intensity), rice growth, and yield. The results showed that the sunlight intercept in each Jarwo planting system was not different. The highest average temperature was recorded in the Jarwo 2:1 system and the lowest in the Jarwo 4:1. The highest average humidity was recorded in the Jarwo 4:1 system and the lowest in the Jarwo 2:1 system. The study's results noted no significant difference in the variables of plant height, total number of tillers, number of productive tillers, and grain weight per panicle. The observation of grain weight per clump Jarwo 3:1 is significantly different from Jarwo 4:1. The existence of alleys in the Jarwo planting system does not significantly affect plant growth and yield.
Identification of microclimate in jajar legowo planting system and its effect on brown plant hopper and Lycosa sp.
Authors: Saputra Fajar Eka , Supriyadi  , Muliawati Endang Setia
Published: December 2023

Rice was an important food crop that one of the cultivation was the jajar legowo planting system. However, the effect of the planting system on brown planthopper and predatory Lycosa has not been well studied, related to microclimate changes. This study aims to identify microclimate factors in the jajar legowo and their effects on brown leafhopper populations and Lycosa. This research was designed through field experiments in rice fields with the treatment of legowo planting system (2: 1) and conventional system as a check. The research variables consisted of temperature, humidity, light intensity, brown leafhopper population, and Lycosa population. The results of this study showed the highest humidity was at the end of the planting period. The temperature and light intensity recorded in jajar legowo planting systems tends higher. The population of Lycosa in the Jajar legowo planting system was highest in the 2 week after transplanting (WAT), while in the conventional planting, the system was found in the 1 WAT The highest brown plant hopper population was recorded at 3 WAT, while in jajar legowo at 2 WAT. The results of this study showed no significant effect of microclimate factors on the Lycosa population and brown leafhopper populations. The benefit of this research is knowing the effect of microclimate on lycosa and WBC populations in Jajar Legowo and Conventional rice planting systems.
Soil properties of agricultural sloping land in Banjarnegara Regency, Indonesia
Authors: Yustika Rahmah Dewi , Maswar  , Dariah Ai , Nurida Neneng Laela , Santri Jelly Amalia , Widowati Ladiyani Retno , Hartatik Wiwik
Published: December 2023

Intensive farming in highland sloping land can lead to more frequent soil erosion, thus exacerbating soil deterioration. Good agricultural practices on sloping land can prevent soil degradation. This study aimed to identify soil properties within transects consisting of the shoulder slope (forest) and upper and lower slopes (agricultural field) in steep slope ranges between 25 – 40%. The study area was located in Sumberejo village, Banjarnegara Regency, Indonesia, with young coffee tree intercropping carrot land use previously planted with horticulture crops. The result showed that the concentration of potential P and K, pH, N, exchangeable cation (Ca, Mg, K), and CEC within the transect in sloping land resulted in higher concentration in the upper and lower slope than shoulder slope because agriculture area got influence from fertilizer application. Higher soil organic carbon content and dehydrogenase enzyme also lower bulk density value in shoulder slope because the forest had undisturbed condition. This study informs that agricultural activities influence soil characteristics. Implementing proper land management on sloping lands can reduce soil degradation and mitigate the effects of climate change.
The accuracy of soil moisture prediction using an RGB camera on maize and peanut plantation
Authors: Ariyanto Dwi Priyo , Rustam Isnain Rachmanto , Mujiyo  , Komariah
Published: December 2023

Forest observation to use soil moisture meters for monitoring soil moisture are still relatively inefficient if done on very large land because it still relies on relatively much energy and requires a long time. This study aims to determine the accuracy of the use of aerial photographs from the Red-Green-Blue (RGB) camera Drone to estimate soil moisture levels. Aerial photographs were analyzed with the ImageJ application to find digital numbers, and actual soil moisture measurements by the gypsum block method. Soil moisture and digital numbers are then analyzed by regression and correlation. The results show that this method has a low accuracy. However, the comparison between the actual soil moisture and the soil moisture from the prediction doesn’t show a significant difference. The accuracy of the estimation depends on the camera settings and the weather, so further calibration and testing are necessary if used under different conditions.
Mitigating the impact of environmental disasters on food systems in Indonesia: strategies and implications
Authors: Susandi Armi , Wijaya Aristyo R. , Ihsan Mustafid , Nugroho Ahmad W.
Published: December 2023

This study investigates the impact of environmental disasters on food systems in Indonesia and proposes strategies for environmental disaster reduction. The study utilizes a case study approach, analyzing the impact of environmental disasters on food systems in selected regions of Indonesia and proposing a mathematical function using an inverse function to map the food systems vulnerability index to the disaster capacity index. The study also considers social, economic, and cultural dimensions in the analysis to ensure the strategies are contextually appropriate. The analysis focuses on identifying successful strategies for environmental disaster reduction and quantitatively assessing their impact on food systems.The research highlights the importance of investing in adaptive and coping capacity to enhance food security and mitigate the impact of environmental disasters, with the potential to increase production by 3-5% in local areas in Indonesia. The study's findings have important implications for policy and practice, emphasizing the importance of integrating environmental disaster reduction strategies into national and regional development plans to ensure the resilience and sustainability of the food systems in Indonesia.
The role of Weather Modification Technology for forest and land fire disaster mitigation in the perspective of carbon emission reduction in Indonesia
Authors: Harsoyo Budi , Boer Rizaldi , Aldrian Edvin , Syaufina Lailan , Prayoga M. Bayu Rizky , Syaifullah Muhamad Djazim , Nugroho Ari , Fadlilah Chandra
Published: December 2023

This paper reviews the effectiveness of implementing Weather Modification Technology (WMT) in efforts to control forest and land fire disasters in Indonesia. Analysis is carried out on several parameters in the field that can be measured and observed. WMT has been proven to be able to increase rainfall intensity by 12.9% and shorten the duration of Consecutive No Rain Days, which in turn can reduce the number of hotspot events in the target area. The implementation of WMT during the rainy season transition period has also been proven to be able to increase the peatland groundwater level, which ultimately shortens the drought period in the target area. The WMT implementation program, which has become increasingly well-planned in the last 4 years (2020-2023), has proven to be able to reduce the number of hotspot incidents, the extent of forest and land fires, and the amount of carbon emissions in Indonesia quite significantly. Based on updated data until September 2023, the number of hotspots, burnt area, and total carbon emissions in Indonesia were "only" 22%, 38.9%, and 5.3% respectively compared to the numbers in 2019, which was both an El Nino year.
Energy optimization based on project life cycle (PLC): a literature review
Authors: Aidon Uda Subrata Aditama Kittie , Frieda  , Desriantomy  , Okta Meilawaty , Supiyan  , Devia  , Uda Saritha Kittie
Published: December 2023

The occurrence of global climate change is caused by the rising temperature of the earth as a result of high CO2 emissions due to excessive energy consumption in the construction sector. Energy consumption in construction activities starts from the pre-construction stage, then the construction stage and finally the post-construction stage. This study aims to find assessment indicators in reducing energy consumption based on literature studies within the scope of the project life cycle (PLC). The method applied here is a qualitative approach by identifying and reviewing some of the literature on reducing energy consumption in construction projects. The literature study found that there are 5 parts in the building life cycle that can be used to identify sources of energy consumption in construction projects, namely the building materials production stage, the construction process, the building use stage, the end of the building's life and disassembly stage. We identified that there are 3 stages of energy calculation in buildings, namely the stages of Manifest Energy, Operational Energy and Demolition Energy. We find that optimizing indirect energy at the production and planning stage has a significant impact on reducing energy consumption at a later stage through building policy and design. While direct energy optimization can be carried out at the construction and operation stages through energy efficiency in each activity.
Policy strategies for climate-resilient infrastructure in climate change adaptation: jurisdictional comparison between Chile and Indonesia
Authors: Maskun Maskun , Al Mukarramah Nurul Habaib , Angi Josse Charmario Wara
Published: December 2023

The impact of climatic change such as extreme weather events and sea level rise have resulted in a greater burden for countries surrounded by waters including Indonesia as an archipelagic state and Chile as a coastal state to adapt to climate-related disasters and building resilience by developing climate-resilient infrastructure. This article is purposed to analyze legal regulation to strategize preparedness in climate adaptation policy by incorporating climate-resilient infrastructure. This article utilizes jurisdictional-based comparative legal methods as a part of normative legal research, with statutory approach through laws and regulations as its primary data, with country practices obtained through literary sources used as secondary data. The result reveals that there are two strategies needed to be taken by countries for climate adaptation policy: 1) Policy initiation and formulation based on climate change risk mapping by considering potential financial cost, appearing social problems and environmental impact; 2) Policy enactment through legal instruments mandating state to provide climate-resilient infrastructure to adapt to climate change. Chile demonstrates best practice in policy formulation strategies through initiation of ARClim and enacting climate change legislation in 2022, compared to Indonesia with no existing climate change legislation and national climate risk mapping. In conclusion, this research implies that countries prone to climate change impacts including Indonesia shall urgently initiate, formulate and enact policies incorporating climate-resilient infrastructure through the proposed strategies.
The role of audit committee expertise and sustainability performance in the Indonesian mining industry
Authors: Putri Wika Harisa , Raharti Rini , Vitaningsih Clara Wuri , Sulistyarini
Published: December 2023

The worldwide concern about climate change has compelled the corporation to revamp its strategy to align with sustainability. The corporate governance structure significantly impacts sustainability performance. The previous study examines the impact of audit committee characteristics on sustainability performance, and the study's findings remain inconclusive. This study analyses the impact of specific attributes of the audit committee to forecast its effect on sustainability performance. Audit committee expertise is crucial in exerting influence on sustainability performance. However, the study's findings indicate that competence within the audit committee has yet to impact the sustainability performance of the Indonesian mining industry.
Antibody titer uniformity in Indonesian Native Chickens against avian pathogens in a tropical environment: a three-time series study
Authors: Al Wahid Zainudin , Pradista Luthfi Adya , Kusumaningrum Rahayu , Lanjar  , Widyas Nuzul , Ratriyanto Adi , Prastowo Sigit
Published: December 2023

Elevated temperatures in tropical environments detrimentally affect poultry immunity, increasing susceptibility to infectious diseases and compromising overall health. This study investigated the antibody titer uniformity in Indonesian native chickens (Kedu, Arab, and Lignan) against H5N1, H9N2, and ND-G-VII viruses within a tropical climate. The research involved a three-time series monitoring of log2 antibody titers at ages 10, 30, and 45 days. The 90 Indonesian native chicken blood samples were collected to assess their immune system. Results revealed a consistent pattern of antibody titer uniformity for H5N1 and H9N2 throughout the early growth stages, indicating a consistent immune response in the tropical environment. Contrasting with ND-G-VII, the antibody titers increased significantly (p<0.05: 4.90±1.20 to 6.20±1.23) at 10 to 45 days, reflecting a progressive immune response in Indonesian native chickens against ND-G-VII. The findings emphasize the importance of considering environmental context when interpreting immune responses in poultry reared in tropical climates, which is influenced by the uniformity of immune responses against different pathogens. Such knowledge could have implications for designing effective vaccination strategies and disease prevention measures tailored to the specific challenges of poultry farming in tropical regions.
Green harvest: consumer attitudes as seeds of change towards a sustainable food revolution
Authors: Andika Andika , Putri Wika Harisa , Luthfiana Della Nanda , Najmudin Mohamad
Published: December 2023

The breakthrough of organic food plays a crucial role in mitigating climate change. This is based on several research findings stating that organic food can reduce the use of chemicals, improve soil conditions, reduce greenhouse gas emissions, and support biodiversity. However, the high price constraint of organic food leads most people to prefer non-organic food daily. The focus of this research is to determine the level of consumer willingness to pay more (WTPM) for organic food by examining the role of knowledge of organic food (OFK), price consciousness (PC), and consumer attitudes (CA). The 300 respondents were collected from all islands in Indonesia, including Java, Bali, Kalimantan, Sumatra, Nusa Tenggara, Sulawesi, Bangka Belitung, and Papua. This study uses Structural Equation Modeling (SEM) to test the research hypothesis. The research results indicate that OFK and PC directly and significantly influence CA. Furthermore, PC and CA also directly and significantly affect WTPM. Interestingly, OFK does not directly drive consumer WTPM. On the other hand, CA plays a significant mediating role between OFK and PC regarding WTPM. The implications of this research finding are that to increase the adoption of organic food as a climate change mitigation measure; efforts are needed to enhance consumers' knowledge and awareness of the benefits of organic food to form a more positive attitude towards the product. This, in turn, can improve their willingness to pay a slightly higher price to support organic food consumption in Indonesia.
Emission load analysis of land transportation on urban roads in Jember regency, Indonesia (a case study of Sultan Agung Road)
Authors: Mulia Santi Dwi , Fildzah Cantika Almas , Rohman Abdur
Published: December 2023

Jember Regency is located in East Java with a population density of 2,536,729 people in 2020. The higher population in Jember will be proportional to the high transportation activity. This will cause problems regarding air pollution due to vehicle exhaust emissions in Jember Regency. The aims of this study are to estimate the annual emission load of air pollutants on a segment of Jember City's urban roads and to recommend emission reduction strategies. The selection of strategies is conducted by considering experts’ judgments through the Analytic Hierarchy Process (AHP). Sultan Agung Road in Jember City was the target of this study because it is a national road in the middle of a busy shopping area around it. The results of this study show that the emission burden generated from the land transportation sector on Sultan Agung Road in Jember Regency includes 177.486 tons of CO/year; 48.638 tons of HC/year; 9.481 tons of NO2/year; 2.534 tons of PM10/year; 1,245.15 tons of CO2 /year and 0.421 tons of SO2 /year. Three strategies recommended by the experts to reduce emissions are BRT (Bus Rapid Transit) Operational Development, The use of Solar Cells in Public Street Lighting, and Smart Driving.
Design and Remote Monitoring of a wireless-Controlled Smart Agricultural Greenhouse
Authors: Abou-Mehdi-Hassani Fatima , Ait Bouh Hassan , Boudnaya Jaouad , Chmaimi Mohammed , El falaki Yassir , Anar Essohaib , Mkhida Abdelhak
Published: December 2023

This article presents a wirelessly controlled smart agriculture system and offers a comprehensive literature review to explore advancements in greenhouse monitoring and control systems. The system utilizes various sensors and actuators to optimize climatic conditions and enhance the growth of Dianthus Caryophyllus (CLOVE), an aromatic plant. Developed using Internet of Things (IoT) technology, the smart greenhouse system continuously monitors crucial environmental variables, including temperature, humidity, CO2 levels, and soil moisture. The collected data is utilized by actuators to make real-time adjustments to the greenhouse environment. The prototype operates through wireless communication protocols accessible via a dedicated mobile application.
Computational study of new pyranylidene-based D-π-A-A dyes: Effect of the change of the auxiliary acceptor
Authors: Bouzineb Yassir , Fitri Asmae , Touimi Benjelloun Adil , Benzakour Mohammed , Mcharfi Mohammed , Bouachrine Mohammed
Published: December 2023

In this study, four D-π-A-A molecules, based on pyranylidene as the donor, were developed by modification of the auxiliary acceptor. These molecules were theoretically studied using DFT and TD-DFT methods. The optoelectronic and photovoltaic properties were calculated as HOMO, LUMO, Egap, VOC (the open-circuit photovoltage), λmax (the maximum absorption wavelength), Eex (the vertical excitation energies), f (the oscillator strengths) in order to study the effect of auxiliary acceptor change on the enhancement of light absorption capabilities and increase of intramolecular charge transfer ICT. The findings indicate that the D4 dye performs better than the rest of the dyes as it is characterized by a low energy gap (Egap=1.549 eV) and a maximum wavelength (λmax=758 nm). Therefore, the D4 dye is a good candidate for use as a DSSC sensitizer.
Impact Assessment on Kenyan Minimum Energy Performance Standards and Energy Labels for Cold Chain Appliances
Authors: Kambu Chiro Javan , Obbo Joseph , Rop K.V.
Published: December 2023

In addressing climate change and meeting countries National Determined Contribution (NDC) and national cooling action plan (NCAP) on energy ambitious targets in the year 2030, Kenya made several strides in drafting the appliances energy performance and labelling regulations of 2016. Energy efficiency enables distributed off-grid renewable energy systems, from solar home systems to renewable micro-grids, to deliver energy services that otherwise might be economically or technically infeasible in resource-constrained settings. This paper reviews specific multivariate econometric models over the period of 2016 to 2022 and summarizes the impact of minimum energy performance (MEPs) and the energy labels policies and regulations enacted. This paper assesses the energy efficiency label for cold chain appliances and identifies issues, potential improvements, and challenges for successfully nudging consumers towards highly energy efficiency cold chain appliances.
Intelligent energy-based product quality control in the injection molding process
Authors: El Ghadoui Mohamed
Published: December 2023

Energy is a critical resource for powering modern society, supporting economic growth, and meeting basic human needs. In fact, energy efficiency is an important factor for companies looking to remain competitive in the market. This need is particularly more important in energy-intensive industries, such as plastics manufacturing by process injection molding, where energy costs can account for a significant portion of the overall operating costs. By investing in smart energy-efficient technologies based on artificial intelligence tools and on good practices manufacturing, companies can reduce their energy consumption, improve their environmental performance, and enhance their sustainability. In this paper, an artificial neural network, trained on experimental dataset, has been used for modelling the relationships between energy consumption, product quality, and process setting parameters. Then, an energy control system has been building in Matlab Simulink to simulate the behaviour of real production process of polypropylene product and to identify the optimal process settings that achieve the desired level of product quality while controlling energy consumption. The proposed system demonstrated its effectiveness in the case study adopted and then can be used in others similar plastics production. Moreover, its approach can be used to develop the smart control systems for others industrial processes.
Forchheimer–Bénard Instability of the Non-Newtonian Fluid
Authors: El Fakiri Hanae , Lagziri Hajar , Moussa Rachida , El Bouardi Abdelmajid , Lahlaouti Mohammed Lhassane
Published: December 2023

The present paper examines the effect of vertical throughflow on the onset of convective instability in a horizontal porous layer filled with a non-Newtonian power-law fluid (PL). The permeable boundary layers are exposed to two different uniform constant temperature conditions, The Oberbeck-Boussinesq hypothesis is considered with the Darcy-Forchheimer model. A fourth-order eigenvalue problem is stemmed from the performance of the linear stability analysis, and the critical values are obtained using the shooting method combined with the Runge-Kutta method. The non-Newtonian Darcy-Rayleigh number (R), the Péclet number (Pe), the Forchheimer number (G), and the power-law index (n) are the parameters whose value play a crucial role in the onset of instability. The finding shows more stabilizing effects arise in pseudoplastic fluid than dilatant one at Peclet number Pe << 1 where the inverse behaviour takes place at large Peclet number even with the existence of the drag number or without it.
Distribution network topology planning and optimization: A brief review
Authors: El Berkaoui Ayoub , Bahsine Saida , Oukennou Aziz , Ait Nouh Fatima , Rzine Bouchra
Published: December 2023

This article investigates distribution network topologies, with an emphasis on Mesh, Radial, and Ring designs, within the context of smart grids. With the primary goal of decreasing power losses using optimization techniques. The ZIP model is used to precisely capture load behaviour in load flow. This research adds to our understanding of topology selection, optimization approaches, and load behaviour modelling, improving in this way increases the efficiency and reliability of electrical distribution networks.
A survey on AI Approaches for Internet of Things Devices Failure Prediction
Authors: Khattach Ouiam , Moussaoui Omar , Hassine Mohammed
Published: December 2023

The use of Internet of Things (IoT) devices has experienced a substantial surge in various sectors, including manufacturing, healthcare, agriculture, and transportation. Nonetheless, the susceptibility of these devices to failures has emerged as a significant concern, contributing to costly periods of inactivity and diminished productivity. Consequently, the development of sophisticated and precise techniques for forecasting device failures in advance has become imperative. This research paper thoroughly investigates and analyses the most recent advancements and scholarly inquiries pertaining to the implementation of artificial intelligence methodologies, notably machine learning and deep learning, in the realm of predicting and averting IoT device failures. These AI-based approaches can be trained on extensive historical datasets, enabling the detection of distinctive patterns and anomalies that serve as potential precursors to device malfunctions. By incorporating these innovative failure prediction techniques into their operations, organizations can actively identify and address potential issues, thereby minimizing the adverse repercussions of device failures on their overall performance and functionality.
Deep learning for parking spaces prediction in the context of smart and sustainable cities: A systematic literature review
Authors: Hamidou Soumana Abdoul Nasser , Ben Salah Mohamed , Moussa Noureddine
Published: December 2023

The search for solutions to mitigate traffic congestion is a major challenge for densely populated cities. Studies have shown that more than 40% of traffic jams are caused by prolonged searching for parking spaces in crowded cities. Therefore, predicting the availability of parking spaces in advance is a crucial step in helping drivers quickly find free spaces and thus reduce traffic jams and their negative impacts on the environment, economy, and public health. Various approaches have been proposed to solve traffic congestion related problems. Deep learning, a technique in machine learning, has seen increasing use and has shown much effectiveness compared to other machine learning techniques for predicting parking space availability. In this study, we analyzed the use of deep learning techniques through a systematic literature review. The review process included formulating the research question, establishing search strategies, as well as data extraction and analysis. As a result, we identified four major families of deep learning techniques commonly used for predicting parking space availability. Additionally, we observed that recurrent neural networks and convolutional neural networks are the most widely used techniques.
Evaluating Segment Routing Technology for MPLS-based Network
Authors: Melad Mohammed , Musbah Muhammed , Almiqasbi Khalil
Published: December 2023

Multi-protocol label switching (MPLS) has proved its strength for large network traffic since it emerged. However, due to increasing demands on network services and for a massive traffic that continually growing, Segment Routing was developed and introduced to overcome the limitation in load balancing and scalability of current MPLS. This paper examines the effectiveness of the SR technique for MPLS-based networks with Traffic Engineering (TE) via experimental work where an implementation of basic SR scenarios is emulated and tested for some comparison criteria. These criteria were based on packet analysis for both simple ICMP and flow in stable conditions and for network convergence in case of failure. Simulation results confirm the effectiveness of SR in MPLS-TE-based networks in terms of convergence and reducing overhead traffic control.
The tin doping effect on the physicochemical and nonlinear optical properties of the manganese oxide (Mn3O4: Sn) thin films
Authors: Rossi Zaid , Ghannam Hajar , Brioual Bilal , Ullah Shafi , Zanouni Mohamed , Diani Mustapha , Aouni Abdesamad , Addou Mohammed
Published: December 2023

Undoped and tin doped manganese oxide, Mn3-xSnxO4, (x=0, 2, and 4 at %) thin films were successfully elaborated by the chemical route defined in the spray pyrolysis technique and deposited on glass substrates at a temperature of 350 °C. The physicochemical characterization of the thin films was performed using an X-ray diffractometer (XRD) that showed a polycrystalline tetragonal structure for all thin films. Raman measurement confirmed the vibrational mode, A1g, and the XRD results with the presence of no secondary phases. Scanning electron microscopy coupled with energy dispersive X-ray spectroscopy depicted the surface morphology and the elemental composition (Mn, O, and Sn) of the elaborated thin films. Finally, the optical analysis was carried out, and it showed an increase in the average transmittance of the Mn3O4: Sn (0, 2, and 4 at %) from 57.6 % to 62.2 % for 700 nm and an increase of their optical band gap from 3.27 eV to 3.61 eV. We note also a decrease of their dispersive energy parameter Ed from 5.44 eV to 4.86 eV, of their static refractive index n0 from 2.02 to 1.86, as well as for their nonlinear optical parameters presented by the nonlinear refractive index n2 from 1.14 10-11 to 0.51 10-11 and the third order susceptibility χ3 from 6.14 10-13 esu to 2.49 10-13 esu. These values can be correlated to the poor crystallinity and the tensile strain of the Mn3O4: Sn (0, 2, and 4 at %) thin films, as well as to the high order of the optical bandgap energy and the decrease of the linear refractive index of these films. Hence, these thin films can be used as material for nonlinear optical applications.
Analysis of current attacks on the CAN bus and development of a new solution to detect these types of malicious threats
Authors: Karrouchi Mohammed , Rhiat Mohammed , Nasri Ismail , Atmane Ilias , Hirech Kamal , Messaoudi Abdelhafid , Melhaoui Mustapha , Kassmi Kamal
Published: December 2023

The majority of modern vehicles have electronic control units (ECUs) in charge of controlling their functions. These ECUs communicate with one another using the CAN (Controller Area Network) communication protocol. This practical bus offers great transfer of data quality by enabling wide propagation that quickly reaches all sections of a vehicle. Unfortunately, this specific protocol places little focus on security, making the CAN bus control system susceptible. This is owing to its ease of physical or remote access and lack of confidentiality. This vulnerability makes it feasible to take control of the vehicle and endanger the safety of the passengers. The main objective of this work is to present the current existing vulnerabilities of the CAN Bus, to discuss a practical demonstration of hacking as well as to propose a technique to fight against these malicious actions, and all this by practical demonstrations on a DACIA Lodgy and Sandero 2014 vehicles.
Theoretical simulation of olive pomace pyrolysis for biomass energy: A sustainable approach to waste reduction and energy efficiency
Authors: Chait Sofiane , Chater El Ayachi , Laaroussi Najma , Asbik Mohamed
Published: December 2023

This scientific investigation explores the conversion of olive pomace waste from Moroccan oil mills into valuable biomass energy via pyrolysis. The study involves three pivotal parts: Our research encompasses a multifaceted approach, beginning with a comprehensive review of olive pomace, pyrolysis, gasification, and biomass combustion to establish a robust foundational knowledge base. Following this, we embark on developing a physical and mathematical model for pyrolysis alongside determining crucial thermo-physical properties, thus setting the stage for subsequent simulations. In the final phase, our study conducts intricate simulations of the pyrolysis process, precisely calculating gas and solid temperatures at multiple pivotal points while accounting for fluctuations in solid temperature due to gas interactions. Employing a TDMA (Thomas Algorithm) approach to iteratively solve the system's equations, we simultaneously derive temperature values for both gas and solid phases. Notably, our research integrates critical thermal data, including the initial assumption of a uniform solid temperature at 293 K, an incoming gas temperature of 600 K, and an existing gas temperature post-pyrolysis of 514.52 K, while considering non-uniform solid temperatures. This comprehensive research underscores the potential of pyrolysis as a sustainable biomass energy source, addressing waste management concerns and championing environmental sustainability.
A portable artificial respirator with remote managing features
Authors: Selmani Abdelouahed , Benhala Bachir , Soufiane Abi , Imade El Hajjami , Guerbaoui Mohamed , Ed-Dahhak Abdelali , Lachhab Abdeslam
Published: December 2023

COVID-19 is a disease that particularly attacks the respiratory system. As the situation worsens, the lungs function less effectively, requiring artificial respiration support to maintain adequate oxygen levels. Moreover, the remote supervision of the patient's conditions and remote control of the parameters of a portable breathing apparatus should help decongest hospitals. Such a concept will help healthcare professionals save considerable time by avoiding round trips among patients who do not represent acute respiratory failure. In this work, we describe the basic concepts of telemonitoring of remote patients during ventilation. Our goal is to guarantee the appropriate functioning of a portable respirator including management functionalities. Thus, medical staff can remotely supervise and configure the various components of the portable respiratory system according to the patient's condition.