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Hydrogen bonding: a mechanism for tuning electronic and optical properties of hybrid organic–inorganic frameworks

npj Computational Materials 2016年第1期2卷 19-24页

作者： Fedwa El-Mellouhi El Tayeb Bentria asma marzouk Sergey N Rashkeev Sabre Kais Fahhad H Alharbi Qatar Environment&Energy Research Institute(QEERI) Hamad Bin Khalifa UniversityDohaQatar College of Science and Engineering Hamad Bin Khalifa UniversityDohaQatar Department of Chemistry and Physics Birck Nanotechnology CenterPurdue UniversityWest LafayetteINUSA.

The field of hybrid inorganic–organic framework materials is one of the fastest growing fields in materials science because their enormous structural and chemical diversity presents great opportunities for creating many technologically relevant *** of the most important issues is controlling and tuning the structural,optical,thermal,mechanical and electronic properties of these complex materials by varying their chemistry,fabrication techniques and preparation *** we demonstrate that significant progress in this area may be achieved by introducing structural elements that form hydrogen bonds with the *** hybrid framework materials with different structural ordering containing protonated sulfonium cation H3S+and electronegative halogen anions(I^(−),Br^(−),Cl^(−)and F^(−)),we found that hydrogen bonding increases the structural stability of the material and may be used for tuning electronic states near the *** suggest that such a behaviour has a universal character and should be observed in hybrid inorganic–organic framework materials containing protonated *** effect may serve as a viable route for optoelectronic and photovoltaic applications.

关键词： inorganic bonding electronic

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Hypomagnesemia with Secondary Hypocalcemia Linked to a Novel TRPM6 Gene Mutation

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Open Journal of Pediatrics 2016年第4期6卷 290-294页

作者： Amel Tej Bernd Dworniczak asma marzouk Najla Soyah Samia Tilouche Moez Gribaa Jihène Bouguila Lamia Boughamoura Pediatric Department Farhat Hached Sousse Tunisia Department of Human Genetics Westfaelishe Wilhelms Universitat Münster Germany Department of Human Genetics Farhat Hached Sousse Tunisia Medical faculty Ibn Jazzar University of Sousse Sousse Tunisia

Hypomagnesemia with secondary hypocalcemia (HSH) is a rare inherited disorder, characterized by extremely low levels of serum magesium associated with symptomatic hypocalcemia. HSH manifests in the new born period with neurological symptoms, including generalized seizures, which are refractory to anticonvulsant treatment. In this disorder, the basic abnormality is the defective intestinal absorption of magnesium. Mutations in TRPM6, the gene encoding the transient receptor potential cation channel subfamily member 6 have been found to be responsible for this disease. We report on a four-month-old Tunisian girl who presented with convulsions. Laboratory evaluation yielded extremely low serum magnesium levels, low calcium levels, and abnormal PTH levels. The diagnosis of HSH was confirmed by mutation analysis which identified the novel mutation c.1307A >G in exon 11 of TRPM6 (Lys436Arg). Our patient was homozygous for this mutation. Prenatal diagnosis was done during second pregnancy. DNA from trophoblast biopsy showed the same mutation as the proband.

关键词： Magnesium Hypomagnesemia Hypocalcemia Convulsion TRPM6

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Deep Transfer Learning-Enabled Activity Identification and Fall Detection for Disabled People

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Computers, Materials & Continua 2023年第5期75卷 3239-3255页

作者： Majdy M.Eltahir Adil Yousif Fadwa Alrowais Mohamed K.Nour Radwa marzouk Hatim Dafaalla asma Abbas Hassan Elnour Amira Sayed A.Aziz Manar Ahmed Hamza Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Faculty of Arts and Science Najran UniversitySharourahSaudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Applied SciencesKing Khalid UniversityMuhayil63772Saudi Arabia Department of Digital Media Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

The human motion data collected using wearables like smartwatches can be used for activity recognition and emergency event *** is especially applicable in the case of elderly or disabled people who live self-reliantly in their *** sensors produce a huge volume of physical activity data that necessitates real-time recognition,especially during *** is one of the most important problems confronted by older people and people with movement *** previous techniques were introduced and a few used webcam to monitor the activity of elderly or disabled ***,the costs incurred upon installation and operation are high,whereas the technology is relevant only for indoor ***,commercial wearables use a wireless emergency transmitter that produces a number of false alarms and restricts a user’s *** this background,the current study develops an Improved WhaleOptimizationwithDeep Learning-Enabled Fall Detection for Disabled People(IWODL-FDDP)*** presented IWODL-FDDP model aims to identify the fall events to assist disabled *** presented IWODLFDDP model applies an image filtering approach to pre-process the ***,the EfficientNet-B0 model is utilized to generate valuable feature vector ***,the Bidirectional Long Short Term Memory(BiLSTM)model is used for the recognition and classification of fall ***,the IWO method is leveraged to fine-tune the hyperparameters related to the BiLSTM method,which shows the novelty of the *** experimental analysis outcomes established the superior performance of the proposed IWODL-FDDP method with a maximum accuracy of 97.02%.

关键词： Fall detection disabled people deep learning improved whale optimization assisted living

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