bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of agronomic performance and shattering resistance of F7 soybean lines
Authors: Krisnawati A , Soegianto A , Waluyo B , Kuswanto  
Published: April 2020

Abstract
Soybean productivity can be increased through optimizing the agronomic performance and minimizing the yield losses due to pod shattering. The objectives of this studywere to evaluate the agronomic performance and shattering resistance of F7 soybean lines. Twenty-one F7 lines including three check varieties (Dega 1, Detap 1, and Anjasmoro) were evaluated in two soybean production centers (Blitar and Mojokerto, East Java, Indonesia) from July to October 2018. The field experiment was arranged in a randomized block design with four replications. The screening for shattering resistance was done by the oven-dry method. The results showed that the plant height, number of filled pods, seed size, and seed yield were higher in Mojokerto than in Blitar, meanwhile, the average branches number in Blitar was higher than in Mojokerto. The yield of Detap 1 (2.89 t/ha) was highest than the two other check varieties. Three lines produce higher yield than Detap 1, namely Anjs/G100H-44 (3.33 t/ha), Anjs/Rajabasa-306 (3.22 t/ha), and Anjs/Rajabasa-311 (3.26 t/ha). The agronomic traits for determining high yields differ between locations. The assessment for shattering resistance resulted in seven highly resistant lines, twelve resistant lines, three moderately resistant lines, one susceptible line, and one highly susceptible line. Three selected lines with high yield and resistant to pod shattering were recommended to be tested in the various environments.
Study of house orientation and their placement towards sustainable Islamic residential area
Authors: Junara N , Mutiara E , Senjana S 
Published: April 2020

Abstract
Indonesia is a country which exhibits full of dynamic in its physical development. There are existing kampongs, within the city rapid development growth, preserve with their abundant cultural and traditional potentials. Muslim kampongs are one of the traditional settlements embedded with significant Islamic characteristics. Religious or belief factor is one of the issues that determine occupational typology. In traditional society, this is a dominant aspect that signifies their community identity. In this research, the leading indicators include the nature of law, faith in religion and culture, design principal from Sharia law, and social principal. This study aims to investigate the relationship between traditional settlement patterns with religious influences, especially Islam in Indonesia through house orientation and their placement. This paper adopts a content analysis method to achieve the research objective of “Islamic Housing Typology.” From the content analysis, it is discovered that the orientation and house placement has a significant relationship with the Muslim worldview. The existence of mosques and boarding schools are some of the factors forming the orientation of Muslim residential areas. This study enhances the existing literature on the importance of house orientation and their placement in the Muslim residential area.
Implementation green industry standard at textile industry and textile product
Authors: Indrayani L , Triwiswara M 
Published: April 2020

Abstract
At present industrialists must begin to shift from the industry as usual to an environmental industry or what is now known as a green industry. An important issue in the principle of green industry that needs to be understood and implemented is industries in their production processes implement sustainable efficiency and effectiveness in resources. The green industry is not only oriented towards improving the economic sector but also concerned with environmental sustainability. So the negative impact on the environment and the use of natural resources providers of industrial supports, does not result in a decrease in the carrying capacity and capacity of the environment. Therefore to realize the textile industry and textile products that are environmentally friendly, the necessity to develop industrial performance by integrating the principles of the green industry into the production process. This paper will explain the implementation of green industry characteristics that can be adapted into each stage of the production process in the textile industry and textile products, especially the batik industry. The characteristics of the green industry include the efficiency of the use of input materials, namely raw materials and auxiliary materials and the use of alternative materials that are more environmentally friendly, low energy and water intensity, minimization of waste both liquid and solid waste and reducing emissions due to the use of low-carbon technology. Each characteristic is equipped with criteria in the green industry standard (GIS) that can be used by textile and textile products industrialists, especially the batik industry in implementing the principles of the green industry.
Sprinkler irrigation design with microcontroller based on IoT
Authors: Noerhayati E , Margianto  , Dwisulo B , Rahmawati A 
Published: April 2020

Abstract
Sprinkler irrigation is an alternative irrigation technology application that theoretically has a higher efficiency than open irrigation channels. In the form of the field, production of high- efficiency irrigation is achieved when most of the irrigation network is designed correctly and use an excellent tool and smooth operation. 4.0 to support the industry, irrigation precipitation can automatically be developed using the ESP8266 NodeMCU Android-based microcontroller. Tests in the laboratory by direct observation method. The statistical data analysis using the analytical statistic results of the T-test showed that the distribution of the automatic sprinkler water distribution compared to manual testing meets the T-test.
Diversity and clustering analysis of Sterculia quadrifida R.Br from Kupang, East Nusa Tenggara, Indonesia based on morphological and anatomical characters
Authors: Uslan  , Asmiati  , Lestari N 
Published: April 2020

Abstract
This study aimed to determine the diversity and clustering of Faloak (Sterculia quadrifida R.Br) from Kupang District based on morphological and anatomical characters. This research used descriptive qualitative and quantitative methods. To show the clustering relationship, we used the UPGMA method similarity by the Nei Li coefficient through the MVSP software program version 3.2. Results showed that there was a relationship of Faloak plants from both locations in Kupang district forming 4 groups including Group I (Kupang Barat populations); Group II (Taebenu 3 pupulation), Group III (Kupang Barat 3 and Taebenu 2 populations) and Group IV (Kupang Barat 2 and Taebenu 1 populations). The anatomical characters showed a clear similarity on the epidermal cell, thick inner wall, guard cell, and stomatal pore. The type of trichome on the leaves of Faloak plants from these two sub-districts also showing a similarity, namely non-glandular trichome type.
Synthesis of nanomagnetite coated with carboxymethyl kappa carrageenan (CMKC) as a binder of sodium diclofenac
Authors: Zuhroti B , Kusumaningrum I K , Wijaya A R , Purnama N N 
Published: April 2020

Abstract
To increase the effectiveness of therapy and prevent such damage, nanocarriers can be used as drug carriers through intraarticular injection. The active ingredient of the drug is bound to the nanoparticle-wrapping membrane which is controlled by a magnetic field from the outside. The nanoparticles used in this study were nanomagnetites which were synthesized by the coprecipitation method. Then nanomagnetite is coated with a coating agent that can bind the active ingredients of the drug while preventing agglomeration and oxidation. The coating used carboxymethyl kappa-carrageenan (CMKC). CMKC synthesis was carried out by modifying kappa-carrageenan through two steps, alkalization of k-carrageenan using NaOH, to form alkoxy-k-carrageenan, then etherification of alkoxy-k-carrageenan with monochloroacetic acid (MCA) as reactant to produce carboxymethyl k-carrageenan (CMKC) in isopropanol and ethanol solvent media. The absorption of diclofenac sodium into nanomagnetite coatings was carried out on a phosphate buffer media of pH 7.4 with an absorption time of 30 minutes at room temperature. From the results of the research note that sodium diclofenac successfully adsorbed onto nanomagnetite coatings.
Properties of cassava starch-based bioplastics and CMC with sorbitol as A plasticizer
Authors: Tamara T , Sumari  , Nazriati  , Arni S 
Published: April 2020

AbstractThis research aims to synthesize and characterize the properties of starch and starch/CMC-based bioplastics and to know the effect of sorbitol concentration on bioplastics produced. Characterization the bioplastics used SEM, FTIR and XRD as well as thickness, tensile strength, elongation at break, and resistant to water and acid. The result showed that synthesis of starch and starch-bioplastic success and the surface of bioplastics is uniform, except bioplastic from pure starch. Starch/CMC-based bioplastics is thinner (106.67 ± 5.13 μm), lower tensile strength (8.95 N), more easily degraded by water (33 hours) and acid (15 hours) but highest elongation at breaks (48.15%) than starch based-bioplastics. Sorbitol concentration is proportional to the level of elongation at break and the optimum concentration which added to starch-based bioplastic is 15 mL/20g starch.
Designing a Green Food Delivery Packaging with QFD for Environment (QFDE) and TRIZ
Authors: Harahap M F B , Mubarak A , Suzianti A 
Published: April 2020

Abstract
The Indonesian food delivery service market is projected to grow until 2020. Looking at these trends, food packaging plays an important role in the running of the system. However, until now the packaging on the delivery order is still similar to the package on take-out orders. Seeing this, several problems might occur such as changes in food temperature during transportation, poor presentation of food, changing food tastes, and other causes that impact on decreasing customer satisfaction with the quality of food delivery services and restaurants. The existence of food packaging is very close to the waste it produces. Responding to the problem, this study attempts to examine the proper food delivery packaging (tertiary packaging) design so that food quality can still be maintained by applying the Quality Function Deployment for Environment (QFDE) and Teorija Rezhenija Izobretatelskih Zadach (TRIZ) methods. This study succeeded in answering the research objectives, namely to find out the attributes of customer needs and weighing their importance to the quality of food packaging, as well as succeed in providing food packaging design recommendations with a function focus to maintain food hygiene during the delivery process and considering environmental aspect along the design process.
Investigation on Capacitance Regeneration Characteristics of Supercapacitors during the Aging Tests
Authors: Zhang L , Shi H L , Wang L Q , Wang N 
Published: April 2020

Abstract
The lifetime prediction of supercapacitors is of great significance to the management of energy storage systems, but the phenomenon of capacitance regeneration may occur in the aging cycle experiment of supercapacitors, which will bring about interference to its lifetime prediction. In this paper, the critical factors affecting the capacitance regeneration of supercapacitors are investigated, so as to analyze the influence of the regeneration phenomenon on the lifetime prediction of supercapacitors. The results show that the regeneration performance of supercapacitors is closely related to the working voltage, temperature, aging depth and recovery time. When the charging voltage is increased, the amplitude of the capacitance regeneration decreases, and with the deepening of aging degree, the amplitude of the capacitance regeneration decreases gradually. The temperature has little effect on the amplitude of the capacitance regeneration, but the higher the temperature, the longer the recovery time of capacitance regeneration. In addition, the regeneration capacitance of supercapacitors decays faster than its inherent capacitance under the same aging test conditions. Considering the capacitance regeneration characteristics, the aging trend of supercapacitors is predicted by using support vectors machines method. The prediction results are basically identical with the experimental results.
The changing ecosystem of Dutch BITs
Authors: Lavranos Nikos 
Published: April 2020

Abstract
This article reviews the recent changes of the Dutch model BIT text. It provides a background of the political changes at the domestic as well as the European Union (EU) level, which have been driving these changes. The consequences of the Achmea judgment are of particular importance for the intra-EU BITs and potentially for the Energy Charter Treaty. Subsequently, the article highlights the most dramatic changes compared to the previous Dutch model BIT text and Dutch BIT practice. The author concludes that these changes will ultimately result in a lowering of the level of investor and investment protection.
Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification
Authors: Qiu Shangran , Joshi Prajakta S , Miller Matthew I , Xue Chonghua , Zhou Xiao , Karjadi Cody , Chang Gary H , Joshi Anant S , Dwyer Brigid , Zhu Shuhan , Kaku Michelle , Zhou Yan , Alderazi Yazan J , Swaminathan Arun , Kedar Sachin , Saint-Hilaire Marie-Helene , Auerbach Sanford H , Yuan Jing , Sartor E Alton , Au Rhoda , Kolachalama Vijaya B 
Published: April 2020

AbstractAlzheimer’s disease is the primary cause of dementia worldwide, with an increasing morbidity burden that may outstrip diagnosis and management capacity as the population ages. Current methods integrate patient history, neuropsychological testing and MRI to identify likely cases, yet effective practices remain variably applied and lacking in sensitivity and specificity. Here we report an interpretable deep learning strategy that delineates unique Alzheimer’s disease signatures from multimodal inputs of MRI, age, gender, and Mini-Mental State Examination score. Our framework linked a fully convolutional network, which constructs high resolution maps of disease probability from local brain structure to a multilayer perceptron and generates precise, intuitive visualization of individual Alzheimer’s disease risk en route to accurate diagnosis. The model was trained using clinically diagnosed Alzheimer’s disease and cognitively normal subjects from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset (n = 417) and validated on three independent cohorts: the Australian Imaging, Biomarker and Lifestyle Flagship Study of Ageing (AIBL) (n = 382), the Framingham Heart Study (n = 102), and the National Alzheimer’s Coordinating Center (NACC) (n = 582). Performance of the model that used the multimodal inputs was consistent across datasets, with mean area under curve values of 0.996, 0.974, 0.876 and 0.954 for the ADNI study, AIBL, Framingham Heart Study and NACC datasets, respectively. Moreover, our approach exceeded the diagnostic performance of a multi-institutional team of practicing neurologists (n = 11), and high-risk cerebral regions predicted by the model closely tracked post-mortem histopathological findings. This framework provides a clinically adaptable strategy for using routinely available imaging techniques such as MRI to generate nuanced neuroimaging signatures for Alzheimer’s disease diagnosis, as well as a generalizable approach for linking deep learning to pathophysiological processes in human disease.
18F-fluorodeoxyglucose positron emission tomography in dementia with Lewy bodies
Authors: Graff-Radford Jonathan , Lesnick Timothy G , Savica Rodolfo , Chen Qin , Ferman Tanis J , Przybelski Scott A , Jones David T , Senjem Matthew L , Gunter Jeffrey L , Kremers Walter K , Jack Clifford R , Lowe Val J , Petersen Ronald C , Knopman David S , Boeve Bradley F , Murray Melissa E , Dickson Dennis W , Kantarci Kejal 
Published: April 2020

AbstractAmong individuals with dementia with Lewy bodies, pathologic correlates of clinical course include the presence and extent of coexisting Alzheimer’s pathology and the presence of transitional or diffuse Lewy body disease. The objectives of this study are to determine (i) whether 18F-fluorodeoxyglucose PET signature patterns of dementia with Lewy bodies are associated with the extent of coexisting Alzheimer’s pathology and the presence of transitional or diffuse Lewy body disease and (ii) whether these 18F-fluorodeoxyglucose pattern(s) are associated with clinical course in dementia with Lewy bodies. Two groups of participants were included: a pathology-confirmed subset with Lewy body disease (n = 34) and a clinically diagnosed group of dementia with Lewy bodies (n = 87). A subset of the clinically diagnosed group was followed longitudinally (n = 51). We evaluated whether 18F-fluorodeoxyglucose PET features of dementia with Lewy bodies (higher cingulate island sign ratio and greater occipital hypometabolism) varied by Lewy body disease subtype (transitional versus diffuse) and Braak neurofibrillary tangle stage. We investigated whether the PET features were associated with the clinical trajectories by performing regression models predicting Clinical Dementia Rating Scale Sum of Boxes. Among autopsied participants, there was no difference in cingulate island sign or occipital hypometabolism by Lewy body disease type, but those with a lower Braak tangle stage had a higher cingulate island sign ratio compared to those with a higher Braak tangle stage. Among the clinically diagnosed dementia with Lewy bodies participants, a higher cingulate island ratio was associated with better cognitive scores at baseline and longitudinally. A higher 18F-fluorodeoxyglucose PET cingulate island sign ratio was associated with lower Braak tangle stage at autopsy, predicted a better clinical trajectory in dementia with Lewy body patients and may allow for improved prognostication of the clinical course in this disease.
Foxg1 Upregulation Enhances Neocortical Activity
Authors: Tigani Wendalina , Rossi Moira Pinzan , Artimagnella Osvaldo , Santo Manuela , Rauti Rossana , Sorbo Teresa , Ulloa Severino Francesco Paolo , Provenzano Giovanni , Allegra Manuela , Caleo Matteo , Ballerini Laura , Bozzi Yuri , Mallamaci Antonello 
Published: April 2020

AbstractFoxg1 is an ancient transcription factor gene orchestrating a number of neurodevelopmental processes taking place in the rostral brain. In this study, we investigated its impact on neocortical activity. We found that mice overexpressing Foxg1 in neocortical pyramidal cells displayed an electroencephalography (EEG) with increased spike frequency and were more prone to kainic acid (KA)-induced seizures. Consistently, primary cultures of neocortical neurons gain-of-function for Foxg1 were hyperactive and hypersynchronized. That reflected an unbalanced expression of key genes encoding for ion channels, gamma aminobutyric acid and glutamate receptors, and was likely exacerbated by a pronounced interneuron depletion. We also detected a transient Foxg1 upregulation ignited in turn by neuronal activity and mediated by immediate early genes. Based on this, we propose that even small changes of Foxg1 levels may result in a profound impact on pyramidal cell activity, an issue relevant to neuronal physiology and neurological aberrancies associated to FOXG1 copy number variations.
Comparative Replication and Immune Activation Profiles of SARS-CoV-2 and SARS-CoV in Human Lungs: An Ex Vivo Study With Implications for the Pathogenesis of COVID-19
Authors: Chu Hin , Chan Jasper Fuk-Woo , Wang Yixin , Yuen Terrence Tsz-Tai , Chai Yue , Hou Yuxin , Shuai Huiping , Yang Dong , Hu Bingjie , Huang Xiner , Zhang Xi , Cai Jian-Piao , Zhou Jie , Yuan Shuofeng , Kok Kin-Hang , To Kelvin Kai-Wang , Chan Ivy Hau-Yee , Zhang Anna Jinxia , Sit Ko-Yung , Au Wing-Kuk , Yuen Kwok-Yung 
Published: April 2020

AbstractBackgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging coronavirus that has resulted in more than 2 000 000 laboratory-confirmed cases including over 145 000 deaths. Although SARS-CoV-2 and SARS-CoV share a number of common clinical manifestations, SARS-CoV-2 appears to be highly efficient in person-to-person transmission and frequently causes asymptomatic or presymptomatic infections. However, the underlying mechanisms that confer these viral characteristics of high transmissibility and asymptomatic infection remain incompletely understood.MethodsWe comprehensively investigated the replication, cell tropism, and immune activation profile of SARS-CoV-2 infection in human lung tissues with SARS-CoV included as a comparison.ResultsSARS-CoV-2 infected and replicated in human lung tissues more efficiently than SARS-CoV. Within the 48-hour interval, SARS-CoV-2 generated 3.20-fold more infectious virus particles than did SARS-CoV from the infected lung tissues (P &lt; .024). SARS-CoV-2 and SARS-CoV were similar in cell tropism, with both targeting types I and II pneumocytes and alveolar macrophages. Importantly, despite the more efficient virus replication, SARS-CoV-2 did not significantly induce types I, II, or III interferons in the infected human lung tissues. In addition, while SARS-CoV infection upregulated the expression of 11 out of 13 (84.62%) representative proinflammatory cytokines/chemokines, SARS-CoV-2 infection only upregulated 5 of these 13 (38.46%) key inflammatory mediators despite replicating more efficiently.ConclusionsOur study provides the first quantitative data on the comparative replication capacity and immune activation profile of SARS-CoV-2 and SARS-CoV infection in human lung tissues. Our results provide important insights into the pathogenesis, high transmissibility, and asymptomatic infection of SARS-CoV-2.
All-Cause Mortality and Serious Non-AIDS Events in Adults With Low-level Human Immunodeficiency Virus Viremia During Combination Antiretroviral Therapy: Results From a Swedish Nationwide Observational Study
Authors: Elvstam Olof , Marrone Gaetano , Medstrand Patrik , Treutiger Carl Johan , Sönnerborg Anders , Gisslén Magnus , Björkman Per 
Published: April 2020

Abstract

Background
The impact of low levels of human immunodeficiency virus (HIV) RNA (low-level viremia [LLV]) during combination antiretroviral therapy (cART) on clinical outcomes is unclear. We explored the associations between LLV and all-cause mortality, AIDS, and serious non-AIDS events (SNAEs).

Methods
We grouped individuals starting cART 1996–2017 (identified from the Swedish InfCare HIV register) as virologic suppression (VS; &lt;50 copies/mL), LLV (repeated viral load, 50–999 copies/mL), and nonsuppressed viremia (NSV; ≥1000 copies/mL). Separately, LLV was subdivided into 50–199 and 200–999 copies/mL (reflecting different definitions of virologic failure). Proportional-hazard models (including sex, age, pre-ART CD4 count and viral load, country of birth, injection drug use, treatment experience and interruptions, and an interaction term between viremia and time) were fitted for the study outcomes.

Results
A total of 6956 participants were followed for a median of 5.7 years. At the end of follow-up, 60% were categorized as VS, 9% as LLV, and 31% as NSV. Compared with VS, LLV was associated with increased mortality (adjusted hazard ratio [aHR], 2.2; 95% confidence interval [CI], 1.3–3.6). This association was also observed for LLV 50–199 copies/mL (aHR, 2.2; 95% CI, 1.3–3.8), but was not statistically significant for LLV 200–999 copies/mL (aHR, 2.1; 95% CI, .96–4.7). LLV 50–999 copies/mL was not linked to increased risk of AIDS or SNAEs, but in subanalysis, LLV 200–999 copies/mL was associated with SNAEs (aHR, 2.0; 95% CI, 1.2–3.6).

Conclusions
In this population-based cohort, LLV during cART was associated with adverse clinical outcomes.