M. Siddique

ORCID: 0000-0003-3836-9770
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About
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Research Areas
  • Multiferroics and related materials
  • Magnetic and transport properties of perovskites and related materials
  • Catalytic C–H Functionalization Methods
  • Ferroelectric and Piezoelectric Materials
  • Catalytic Cross-Coupling Reactions
  • Iron oxide chemistry and applications
  • Advanced Condensed Matter Physics
  • Magnetic Properties and Synthesis of Ferrites
  • Magnetic properties of thin films
  • Dielectric properties of ceramics
  • Synthesis and Catalytic Reactions
  • Magnetic Properties of Alloys
  • Metallic Glasses and Amorphous Alloys
  • Hair Growth and Disorders
  • Stock Market Forecasting Methods
  • Radical Photochemical Reactions
  • Malaria Research and Control
  • RNA regulation and disease
  • Neurobiology and Insect Physiology Research
  • Imbalanced Data Classification Techniques
  • Thermal Expansion and Ionic Conductivity
  • Sentiment Analysis and Opinion Mining
  • Nanomaterials for catalytic reactions
  • Fuel Cells and Related Materials
  • Crystallography and Radiation Phenomena

Bangladesh Rice Research Institute
2025

COMSATS University Islamabad
2024

Jinan University
2022-2024

University of Electronic Science and Technology of China
2024

Bahauddin Zakariya University
2019-2023

Mukogawa Women's University
2023

Jilin Medical University
2023

Jilin University
2023

East China University of Technology
2023

Chulabhorn Research Institute
2023

The microstructure and cation distribution of Co<sub>1−x</sub>Mn<italic>x</italic>Fe<sub>2</sub>O<sub>4</sub> were investigated correlated with their electrical properties. Here, Mn substitution enhances the resistive properties which make them favorable for high-frequency applications.

10.1039/c5ra20621a article EN RSC Advances 2016-01-01

In the modern micro-electronics, transition metal oxides due to their colossal values of dielectric permittivity possess huge potential for development capacitive energy storage devices. present work, and effects temperature frequency on electrical transport properties polycrystalline NdFeO3, prepared by solid state reaction method, are discussed. Room Mossbauer spectrum confirms phase purity, octahedral environment Fe ion, high spin Fe3+ ion. From impedance spectroscopic measurements, three...

10.1063/1.4754866 article EN Journal of Applied Physics 2012-10-01

Crystalline magnesium ferrite (MgFe2O4) spinel oxide powder was synthesized by nitrate–citrate sol–gel auto-combustion process with stoichiometric composition of metal nitrate salts, urea and citric acid. The study focused on the modification synthesis conditions effect these modified structural electrical properties MgFe2O4 ceramic materials. Phase composition, crystallinity, structure surface morphology were studied X-ray diffraction, FTIR SEM. Pure single phase obtained after calcination...

10.1016/j.jscs.2015.12.006 article EN cc-by-nc-nd Journal of Saudi Chemical Society 2016-01-06

We present a highly efficient method for cyanating challenging substrates with specific focus on aryl fluorides. This innovative methodology has been successfully expanded to encompass diverse array of halides, underscoring its versatility and broad applicability. The nickel-catalyzed protocol utilizes acetonitrile under mild temperature conditions, providing clean safe alternative cyanation. Notably, it employs nonhazardous, nongaseous, metal-free cyanide source demonstrates wide substrate...

10.1021/acscatal.3c05836 article EN ACS Catalysis 2024-01-31

Sentiment analysis is a powerful tool for transforming consumer feedback into actionable insights, enabling businesses to refine strategies and improve customer experiences. This study evaluates the performance of machine learning models, including Logistic Regression, Random Forest, SVM, LSTM, BERT, sentiment classification on diverse dataset reviews. BERT outperformed other achieving an AUC-ROC 0.97 accuracy 94.2%, showcasing its ability capture complex semantic patterns in text. The...

10.37547/tajas/volume07issue01-02 article EN The American Journal of Applied Sciences 2025-01-07

Complete or partial congenital absence of hair (congenital alopecia) may occur isolated with associated defects. The majority families alopecia has been reported to follow an autosomal recessive mode inheritance (MIM 203655). We have previously mapped the gene for in a large inbred Pakistani family which affected persons show complete development (universal 15 cM region on chromosome 8p21-22. Here we report cloning and characterization human homologue mouse hairless that it is located...

10.1093/hmg/7.11.1671 article EN Human Molecular Genetics 1998-10-01

Polycrystalline ceramics, Bi1-2xBa2xFe1-xNbxO3 (x = 0.00–0.15), were synthesized by solid state reactions method. X-ray diffraction data have revealed elimination of impurity phases and an increase in unit cell volume with Ba Nb substitution. Diffraction peak splitting is found to be suppressed which indicates a decrease octahedral distortion. The Mössbauer spectra demonstrate the suppression spiral spin modulation magnetic moments resulting enhanced ferromagnetism increasing dopant...

10.1063/1.4869081 article EN cc-by AIP Advances 2014-03-01

The present authors have previously described a consanguineous Pakistani family with fibular hypoplasia and complex brachydactyly (DuPan syndrome) inherited as an autosomal recessive trait. All affected individuals showed either reductions or absence of bones in the limbs, appendicular bone dysmorphogenesis unaffected axial bones. Obligate heterozygote parents were phenotypically normal. Mutations cartilage‐derived morphogenetic protein 1 ( CDMP1 ) gene been reported two acromesomelic...

10.1034/j.1399-0004.2002.610610.x article EN Clinical Genetics 2002-06-01

This study explores the use of machine learning (ML) and deep (DL) models for predicting stock price movements through sentiment analysis financial news articles. Four were evaluated: Random Forest (RF), Gradient Boosting (GB), Long Short-Term Memory (LSTM), Bidirectional Encoder Representations from Transformers (BERT). The results showed that models, particularly BERT, outperformed traditional ML achieving higher accuracy, precision, recall, F1 scores. BERT’s ability to capture contextual...

10.37547/marketing-fmmej-05-02-02 article EN Frontline Marketing Management and Economics Journal 2025-02-03

In this study, we conducted a comparative analysis of traditional machine learning models and advanced deep for sentiment consumer feedback, aiming to assess their impact on business strategies. We evaluated the performance Random Forest, Support Vector Machines (SVM), Naive Bayes, BERT, GPT using comprehensive dataset derived from e-commerce platforms, social media comments, customer surveys, online forums. Our results demonstrated that while like Forest SVM achieved decent accuracy, they...

10.37547/marketing-fmmej-05-02-03 article EN Frontline Marketing Management and Economics Journal 2025-02-15

A Bangladesh village rice parboiling plant was used to investigate how improve essential elements and B-vitamin content of rice, while reducing the toxicants arsenic cadmium, potential bacterial pathogens. 25 -factorial experiment conducted where husked de-husked parboiled at different pre-parboiling soaking times, temperatures, through either boiling or steaming, for 2 times. Three cultivars were used. Using wholegrain, rather than rough with 15 mins parboiling, gave optimal reduction in...

10.1016/j.foodchem.2025.143782 article EN cc-by Food Chemistry 2025-03-11

This study explores the use of Large Language Models (LLMs) for automating investment strategies through sentiment analysis financial news, social media, and market data. By fine-tuning models like GPT-3 on datasets, indicators are extracted integrated with traditional machine learning algorithms to predict stock price movements. A comparative various models, including LLM-based, hybrid approaches, was conducted. The results reveal that model, combining LLM-generated algorithms, outperforms...

10.37547/tajet/volume07issue03-16 article EN The American Journal of Engineering And Technology 2025-03-17

The increasing complexity of credit risk management in banking systems has led to the adoption machine learning techniques improve prediction loan defaults. This study evaluates and compares performance several models—Logistic Regression, Random Forest, Gradient Boosting (XGBoost), Support Vector Machines (SVM), Neural Networks—in predicting risk. models were tested on a comprehensive dataset containing demographic, financial, historical data. Performance was assessed based accuracy,...

10.37547/tajet/volume07issue04-04 article EN The American Journal of Engineering And Technology 2025-04-08

Background: Occupational hazards are defined as unfavorable workplace activities that have the potential to injure or sicken healthcare personnel. In low- and middle-income countries, a significant percentage of professionals subjected biological, psychological, ergonomic, chemical hazards. Objectives: To determine prevalence various types ergonomic psychological faced by medical paramedical staff tertiary care hospital Lahore. Methods: This cross-sectional study, conducted at in Lahore,...

10.21649/jspark.v3i4.716 article EN Deleted Journal 2025-02-15

Herein, we present a detailed comparative study of the structural, elastic, electronic, and magnetic properties series new halide perovskite AgCrX

10.1021/acsomega.3c10174 article EN cc-by-nc-nd ACS Omega 2024-04-09

Split‐hand/split‐foot malformation (SHFM) is a genetically heterogeneous disorder, with five known loci, that causes lack of median digital rays, syndactyly, and aplasia or hypoplasia the phalanges, metacarpals, metatarsals. In only SHFM2 family, affected males homozygous females exhibit monodactyly bidactyly hands lobster‐claw feet. This family ( 1 ) was revisited to include additional subjects genealogical data. All 39 three fully expressed SHFM, while 13 carrier examined exhibited partial...

10.1111/j.1399-0004.2004.00369.x article EN Clinical Genetics 2004-12-22

We have systematically investigated the effects of divalent dopants (Sr<sup>2+</sup>, Pb<sup>2+</sup>, Ba<sup>2+</sup>) varying ionic sizes on structural and electronic properties BiFeO<sub>3</sub>.

10.1039/c7tc02956j article EN Journal of Materials Chemistry C 2017-01-01

Iron-palladium nanoalloy in the particle size range of 15-30 nm is synthesized by relatively low temperature thermal decomposition coprecipitated [Fe(Bipy)(3)]Cl(2) and [Pd(Bipy)(3)]Cl(2) an inert ambient dry argon gas. The silvery black Fe-Pd alloy nanoparticles are air-stable have been characterized EDX-RF, XRD, AFM, TEM, magnetometry, (57)Fe Mössbauer impedance spectroscopy. This single phase contains iron sites having up to 11 nearest-neighboring atoms. It superparamagnetic nature with...

10.1088/0957-4484/19/18/185608 article EN Nanotechnology 2008-04-01
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